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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. 4-RES-JB
    11. 20225
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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 @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    omorphic
    -0.78
    eness
    -0.78
    ichick
    -0.78
    rolet
    -0.77
    adelphia
    -0.75
    ilitarian
    -0.68
    liness
    -0.67
     boards
    -0.67
    unia
    -0.67
    orial
    -0.65
    POSITIVE LOGITS
    âĢ¢âĢ¢
    0.94
    AUT
    0.87
    SK
    0.85
    âĢ¢âĢ¢âĢ¢âĢ¢
    0.80
    NEW
    0.79
    laughs
    0.75
    TON
    0.75
    IER
    0.73
    ERROR
    0.73
    COMPLE
    0.72
    Activations Density 0.012%

    No Known Activations