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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. 11-RES-JB
    11. 14874
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    Explanations

    phrases emphasizing the importance of various actions or considerations

    oai_token-act-pair · gpt-3.5-turbo

    phrases emphasizing the significance of certain statements or actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ILA
    -0.74
    uthor
    -0.73
    ãĤ¦ãĤ¹
    -0.66
     Carbuncle
    -0.63
     Ended
    -0.62
    opoly
    -0.61
    urus
    -0.59
    favorite
    -0.57
    bare
    -0.56
    ãĤ´ãĥ³
    -0.56
    POSITIVE LOGITS
     that
    0.96
     to
    0.89
     enough
    0.80
     for
    0.80
     nonetheless
    0.76
     we
    0.74
     lest
    0.69
    that
    0.66
    expr
    0.65
     not
    0.64
    Activations Density 0.070%

    No Known Activations