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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. 4-RES-JB
    11. 2553
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    Explanations

    individuals who are recognized for their contributions or actions

    oai_token-act-pair · gpt-3.5-turbo

    references to individuals or entities that are recognized for their contributions or achievements

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

    No Comments

    Negative Logits
    ierre
    -0.80
    aspx
    -0.75
    venants
    -0.74
    oto
    -0.72
    cre
    -0.70
    FO
    -0.70
    tra
    -0.69
    trap
    -0.67
     tents
    -0.65
    determination
    -0.65
    POSITIVE LOGITS
    olor
    0.77
    rill
    0.76
     wonders
    0.75
     Prelude
    0.71
     credits
    0.70
    lein
    0.70
    unct
    0.69
    reon
    0.67
    redited
    0.66
     credited
    0.66
    Activations Density 0.015%

    No Known Activations