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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. 9-RES-JB
    11. 16315
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    Explanations

    numbers indicating a specific count or quantity

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific numerical values or sequences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    atem
    -0.63
     Aly
    -0.59
    owe
    -0.56
     mascul
    -0.56
     prejudice
    -0.55
     dime
    -0.54
     jerk
    -0.54
     Vanity
    -0.53
     {}
    -0.53
    plin
    -0.53
    POSITIVE LOGITS
    th
    1.15
    teen
    1.01
    92
    0.95
     months
    0.94
    76
    0.92
    81
    0.92
    03
    0.91
    acity
    0.90
    87
    0.90
    71
    0.89
    Activations Density 0.223%

    No Known Activations