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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. 1-RES-JB
    11. 11296
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    Explanations

    mentions of the color red

    oai_token-act-pair · gpt-3.5-turbo

    references to the color red

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     Palest
    -0.77
     Borg
    -0.70
    riage
    -0.68
     Minutes
    -0.67
     Strauss
    -0.66
    LOD
    -0.65
    Xi
    -0.65
    NUM
    -0.65
     Tsarnaev
    -0.64
     Weinstein
    -0.63
    POSITIVE LOGITS
     Redd
    1.09
    redd
    1.08
     redd
    1.07
    itor
    0.99
    itory
    0.95
    iquette
    0.91
    itors
    0.89
    Redd
    0.89
    reddits
    0.87
    ilee
    0.87
    Activations Density 0.009%

    No Known Activations