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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. 13861
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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
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    Negative Logits
     ende
    -0.81
     Orn
    -0.70
     Scouting
    -0.68
     Ago
    -0.65
     Vend
    -0.64
     Russo
    -0.63
     leasing
    -0.61
     Peace
    -0.61
     Stro
    -0.61
     bows
    -0.60
    POSITIVE LOGITS
    true
    1.00
    lambda
    0.97
    false
    0.97
    std
    0.92
    interstitial
    0.90
    bryce
    0.88
    {"
    0.88
    âĢ¦]
    0.87
    function
    0.86
    ...]
    0.85
    Activations Density 0.032%

    No Known Activations