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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 10445
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     waking
    -0.63
     Guth
    -0.62
     churn
    -0.60
     prick
    -0.59
     speeding
    -0.58
     mull
    -0.58
     seism
    -0.56
     Fraz
    -0.56
     dred
    -0.56
     Sabbath
    -0.55
    POSITIVE LOGITS
     Plus
    1.01
    plus
    0.95
     PLUS
    0.94
    +
    0.91
     plus
    0.89
    +,
    0.87
    +)
    0.86
    ILA
    0.86
    II
    0.83
     II
    0.82
    Activations Density 0.227%

    No Known Activations