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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. 12347
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    Explanations

    mentions of sports teams and their performance in games

    oai_token-act-pair · gpt-3.5-turbo

    references to the word "the" in various contexts

    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
    orno
    -0.73
    ÅĤ
    -0.73
    reve
    -0.72
    âĢł
    -0.71
     Emin
    -0.71
    cules
    -0.71
    ersed
    -0.71
    eton
    -0.71
    onse
    -0.70
    ér
    -0.70
    POSITIVE LOGITS
     league
    1.20
     playoffs
    1.12
     toughest
    1.09
     postseason
    1.06
     offseason
    1.04
     scrimmage
    1.02
     latter
    1.02
     dreaded
    1.01
     quickest
    1.01
     rookie
    1.00
    Activations Density 0.669%

    No Known Activations