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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. 15787
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    programming syntax and code structure

    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
     swast
    -0.86
     Whole
    -0.85
    ãĥŃ
    -0.79
    Shape
    -0.73
     Stick
    -0.73
    geist
    -0.73
     Streets
    -0.73
    Wo
    -0.72
     Hearth
    -0.70
     Ghosts
    -0.69
    POSITIVE LOGITS
    ptin
    0.93
    imoto
    0.89
    riber
    0.87
    ani
    0.85
    iaz
    0.84
    fff
    0.83
    amiya
    0.82
    absor
    0.81
    iola
    0.79
    ription
    0.79
    Activations Density 0.454%

    No Known Activations