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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. 10-RES-JB
    11. 5439
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    Explanations

    phrases related to giving instructions or advice

    oai_token-act-pair · gpt-3.5-turbo

    commands or suggestions related to taking action

    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
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    Negative Logits
    ertation
    -0.73
     Harbour
    -0.73
     TRI
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     simulac
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    milo
    -0.65
     catalogue
    -0.65
    CBC
    -0.64
     Blanc
    -0.64
     tram
    -0.62
    ordinate
    -0.61
    POSITIVE LOGITS
    you
    0.97
     YOU
    0.96
     you
    0.95
     You
    0.92
    You
    0.85
    YOU
    0.76
    Ľ
    0.74
    inois
    0.74
    rex
    0.71
    pps
    0.70
    Activations Density 0.134%

    No Known Activations