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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. 10-RES-JB
    11. 21539
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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 @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    hered
    -0.83
    xual
    -0.81
    lessly
    -0.81
    lain
    -0.79
    alos
    -0.79
    cellent
    -0.78
    cham
    -0.77
    olen
    -0.76
    ibles
    -0.74
    nings
    -0.73
    POSITIVE LOGITS
     powerhouse
    0.91
     prowess
    0.85
    ities
    0.85
     significance
    0.80
     manoeuv
    0.78
     frameworks
    0.76
     tur
    0.76
     enqu
    0.76
     maneuver
    0.75
     pursuits
    0.75
    Activations Density 0.112%

    No Known Activations