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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. 16254
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    Explanations

    dates in a specific format

    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks, specifically semicolons

    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
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    Negative Logits
     attacker
    -0.80
     millenn
    -0.80
     spons
    -0.79
     unnecess
    -0.76
     helicop
    -0.76
    bledon
    -0.73
     actu
    -0.72
    icter
    -0.72
    agic
    -0.70
     tremend
    -0.70
    POSITIVE LOGITS
    -)
    1.06
    alias
    0.86
    âĢ¢âĢ¢âĢ¢âĢ¢
    0.84
    âĢ¢âĢ¢
    0.79
    gt
    0.76
     Hindi
    0.70
    +)
    0.69
     ..........
    0.68
    fa
    0.68
    å¦
    0.68
    Activations Density 0.046%

    No Known Activations