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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 8-RES-JB
    11. 10542
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    Explanations

    phrases indicating a conclusion or finality

    oai_token-act-pair · gpt-3.5-turbo

    phrases that imply conclusions or summarizations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ufact
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    RN
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    arag
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    rongh
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     formerly
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    irlf
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    ongyang
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     Flavoring
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     Ships
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    alions
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    POSITIVE LOGITS
    owment
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    notes
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     prevail
    0.70
     anyways
    0.69
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    Results
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     anyway
    0.67
    stakes
    0.66
    Ultimately
    0.65
     credits
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    Activations Density 0.039%

    No Known Activations