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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. 1-RES-JB
    11. 8994
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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 @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Blackwell
    -0.74
    Hop
    -0.72
     Typhoon
    -0.71
     Spit
    -0.70
    CHR
    -0.67
    IGH
    -0.67
    figure
    -0.66
    chance
    -0.64
     Royale
    -0.63
    ft
    -0.63
    POSITIVE LOGITS
     mand
    1.38
    olin
    0.97
    aii
    0.96
    mand
    0.93
    arin
    0.92
    interstitial
    0.88
    arine
    0.88
    awaru
    0.88
    erella
    0.85
    iago
    0.84
    Activations Density 0.003%

    No Known Activations