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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. 8-RES-JB
    11. 10795
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    INDEX
    Explanations

    dates, levels of education, and various entities

    oai_token-act-pair · gpt-3.5-turbo

    specific letter sequences or formatting patterns in text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    advertising
    -0.75
     condem
    -0.68
    bj
    -0.64
    bats
    -0.62
    cdn
    -0.61
     fulfillment
    -0.61
    guards
    -0.60
    fts
    -0.58
    Gaza
    -0.58
    waters
    -0.57
    POSITIVE LOGITS
    xon
    0.73
    ŃĶ
    0.70
    EStream
    0.67
    xual
    0.66
     laureate
    0.65
    ALT
    0.64
    NEY
    0.64
    ledged
    0.61
    ullivan
    0.61
     Sheridan
    0.60
    Activations Density 0.244%

    No Known Activations