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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. 7-RES-JB
    11. 18070
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    Explanations

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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 @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    76561
    -0.78
    wagen
    -0.71
     Peaks
    -0.70
     Flavoring
    -0.68
    bryce
    -0.68
     Shares
    -0.67
     Trials
    -0.67
     Intake
    -0.66
    osures
    -0.65
     ---------
    -0.65
    POSITIVE LOGITS
     adventurous
    1.03
    aggressive
    1.03
     paranoid
    0.96
     cheerful
    0.93
     sentimental
    0.93
     aggressive
    0.91
     uncomfortable
    0.91
    ensical
    0.90
     impractical
    0.90
     obsessive
    0.90
    Activations Density 0.464%

    No Known Activations