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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. 14248
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    Explanations

    references to legislative processes or political figures

    oai_token-act-pair · gpt-3.5-turbo

    punctuations or sentence separators

    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
    esan
    -0.63
     modem
    -0.63
    owsky
    -0.62
    rities
    -0.61
    ovich
    -0.59
    lessly
    -0.57
     pots
    -0.57
    ãĥ¼ãĤ¯
    -0.56
     pim
    -0.56
    lets
    -0.55
    POSITIVE LOGITS
    RNA
    0.81
    outher
    0.77
    E
    0.74
    FU
    0.74
    CHO
    0.72
    W
    0.71
    ZX
    0.71
    RP
    0.71
    1600
    0.71
    M
    0.70
    Activations Density 0.048%

    No Known Activations