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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. 2-RES-JB
    11. 15291
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    Explanations

    numbers representing appointments or specific dates

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the number '11'

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     tradem
    -1.17
     srf
    -0.97
     conflic
    -0.86
    abwe
    -0.79
    EStream
    -0.79
    uations
    -0.78
     millenn
    -0.77
    bsite
    -0.77
     volunte
    -0.77
    inates
    -0.76
    POSITIVE LOGITS
    87
    1.08
    88
    1.00
    81
    1.00
    83
    0.98
    77
    0.98
    82
    0.95
    th
    0.94
    71
    0.94
    07
    0.94
    63
    0.94
    Activations Density 0.029%

    No Known Activations