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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. 9-RES-JB
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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 @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     nonexistent
    -0.66
     gal
    -0.63
     shine
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     scarce
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     plentiful
    -0.58
     staging
    -0.58
     crumbling
    -0.57
    lest
    -0.57
     ridicule
    -0.56
     conflicting
    -0.56
    POSITIVE LOGITS
    dit
    0.88
     Login
    0.80
     consent
    0.77
    User
    0.76
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    0.76
    reements
    0.73
    etsy
    0.73
     Consent
    0.72
     endors
    0.71
    tek
    0.70
    Activations Density 0.066%

    No Known Activations