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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. 5800
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    Explanations

    words related to accomplishments or achievements

    oai_token-act-pair · gpt-3.5-turbo

    instances of significant actions or events related to individuals

    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
    Not in Any Lists

    No Comments

    Negative Logits
    %.
    -0.73
    $.
    -0.72
    .[
    -0.71
    .","
    -0.71
    ".[
    -0.70
    ."[
    -0.69
    !".
    -0.69
    \.
    -0.68
     ILCS
    -0.66
    .–
    -0.66
    POSITIVE LOGITS
     aback
    0.88
     Thursday
    0.85
     Wednesday
    0.85
     Tuesday
    0.83
     yesterday
    0.83
     joking
    0.82
     chuckle
    0.81
     applause
    0.81
     kidding
    0.77
     Friday
    0.74
    Activations Density 0.730%

    No Known Activations