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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. 9-RES-JB
    11. 18533
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    Explanations

    words related to deviation or divergence

    oai_token-act-pair · gpt-3.5-turbo

    words related to distraction and indulgence

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    è¦ļéĨĴ
    -0.84
    Redditor
    -0.71
     antioxid
    -0.67
     Shack
    -0.64
     Io
    -0.64
     Rivals
    -0.64
    æĸ¹
    -0.62
    ovember
    -0.61
    arta
    -0.61
     Everywhere
    -0.61
    POSITIVE LOGITS
    ged
    1.86
    gence
    1.85
    ging
    1.83
    gent
    1.74
    gently
    1.54
    gers
    1.50
    gency
    1.49
    ges
    1.47
    gment
    1.45
    ctive
    1.42
    Activations Density 0.122%

    No Known Activations