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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. 6886
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    Explanations

    last-minute actions or decisions

    oai_token-act-pair · gpt-3.5-turbo
    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
    Not in Any Lists

    No Comments

    Negative Logits
    weeney
    -0.92
    MAT
    -0.87
    hovah
    -0.85
    WAR
    -0.83
    ashtra
    -0.82
    cius
    -0.81
    urat
    -0.79
    ourge
    -0.79
    renheit
    -0.76
    krit
    -0.75
    POSITIVE LOGITS
     additions
    1.03
     adjustments
    0.96
     alterations
    0.94
     cancell
    0.94
     preparations
    0.93
     gratification
    0.92
     tweaks
    0.91
     modifications
    0.89
     flurry
    0.89
     cancellation
    0.87
    Activations Density 0.079%

    No Known Activations