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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. 10-RES-JB
    11. 8295
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    Explanations

    abbreviations related to time or dating

    oai_token-act-pair · gpt-3.5-turbo

    references to historical time periods and designations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    mble
    -0.70
    ktop
    -0.68
    essen
    -0.68
    istration
    -0.67
    nesota
    -0.67
    ners
    -0.67
    ittees
    -0.66
    wives
    -0.63
    iness
    -0.62
    ily
    -0.62
    POSITIVE LOGITS
    ORN
    0.95
    IJ
    0.93
    rypt
    0.93
    FY
    0.93
    OM
    0.91
    BG
    0.89
    ODE
    0.89
    ASE
    0.87
    razy
    0.87
    ategory
    0.86
    Activations Density 0.032%

    No Known Activations