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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. 14014
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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
    ersen
    -0.78
    station
    -0.77
    algia
    -0.76
    aukee
    -0.75
    oppable
    -0.73
    PLE
    -0.68
    erer
    -0.67
    VERTIS
    -0.66
    lar
    -0.66
    dor
    -0.66
    POSITIVE LOGITS
    witz
    1.67
     clauses
    0.89
    ttes
    0.80
     stip
    0.79
     loopholes
    0.72
    rences
    0.72
    ylon
    0.71
    ine
    0.69
    isions
    0.69
    iao
    0.68
    Activations Density 0.020%

    No Known Activations