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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
    11. 18564
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    programming syntax and elements related to coding or scripting

    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
    obo
    -0.82
    Jenn
    -0.82
    jas
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     Zin
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    ras
    -0.76
     Jays
    -0.75
     Jaguars
    -0.75
     enthusi
    -0.74
     Sins
    -0.74
     Ruth
    -0.73
    POSITIVE LOGITS
    et
    1.11
    set
    0.99
    Set
    0.90
     Set
    0.88
    ET
    0.88
    ets
    0.86
    etric
    0.85
    SET
    0.82
     set
    0.82
    endif
    0.76
    Activations Density 0.351%

    No Known Activations