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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. 8-RES-JB
    11. 859
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    dynamic and impactful actions or events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     reluct
    -0.65
    owship
    -0.63
     withd
    -0.63
    ctr
    -0.60
    outhern
    -0.57
     administr
    -0.57
    uilding
    -0.57
    olicy
    -0.55
    anwhile
    -0.55
    rehensive
    -0.55
    POSITIVE LOGITS
     uttered
    0.67
     selfie
    0.64
     grin
    0.63
     beard
    0.62
     haircut
    0.61
    phrase
    0.60
     selfies
    0.60
     smile
    0.59
     Shutterstock
    0.59
     ðŁ
    0.59
    Activations Density 1.869%

    No Known Activations