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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. 6-RES-JB
    11. 12007
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    Explanations

    phrases related to recalling or remembering something

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to thoughts or reflections that come to mind

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    aldi
    -0.73
     MSG
    -0.67
     pudding
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    aceae
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     Auckland
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    anooga
    -0.64
     Onion
    -0.63
    nic
    -0.61
     appetite
    -0.61
     cocktail
    -0.60
    POSITIVE LOGITS
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    0.66
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    Activations Density 0.070%

    No Known Activations