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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. 3-RES-JB
    11. 16195
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    Explanations

    adjectives describing a significant change or achievement in an individual's life

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating a state of becoming or involvement in various roles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
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    ingham
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     excerpts
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     caveats
    -0.60
     intervals
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     Barnes
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     lack
    -0.58
     wording
    -0.57
    POSITIVE LOGITS
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    ãĤ¼
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    operative
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    è£ħ
    0.67
    solete
    0.66
    ZE
    0.65
    Activations Density 0.250%

    No Known Activations