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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. 14430
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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
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    Negative Logits
    utical
    -0.68
    aeda
    -0.67
    hement
    -0.67
    ardless
    -0.64
    igi
    -0.63
    xual
    -0.62
    ibrary
    -0.62
     undermin
    -0.61
    abwe
    -0.60
    eca
    -0.59
    POSITIVE LOGITS
    ³³³
    0.84
    ³³³³
    0.82
    ³³³³³³³³
    0.81
    ³³³³³³³³³³³³³³³³
    0.81
    RESULTS
    0.64
    rawdownloadcloneembedreportprint
    0.63
    ³³
    0.63
    SPONSORED
    0.62
    bush
    0.62
    ccording
    0.60
    Activations Density 0.796%

    No Known Activations