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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. 6-RES-JB
    11. 623
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    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks, specifically parentheses

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    sing
    -0.73
     shorth
    -0.71
     fut
    -0.71
    ãĥ¥
    -0.71
    buck
    -0.70
     brill
    -0.65
     spo
    -0.64
     binge
    -0.63
     bait
    -0.62
     mathemat
    -0.62
    POSITIVE LOGITS
    âķ
    0.86
     srfAttach
    0.85
    ONSORED
    0.77
    >]
    0.76
     //[
    0.75
    eem
    0.74
     Committees
    0.74
    ATURE
    0.71
    Origin
    0.71
     =>
    0.67
    Activations Density 0.133%

    No Known Activations