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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. 4-RES-JB
    11. 9552
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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 @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Auth
    -0.56
     Memorial
    -0.52
     Corrections
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     Supply
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     Relations
    -0.50
    odcast
    -0.50
     ARTICLE
    -0.50
     Reading
    -0.50
     Democracy
    -0.49
     Relief
    -0.48
    POSITIVE LOGITS
     imaginable
    0.86
    mith
    0.73
     apiece
    0.69
     besides
    0.68
    paces
    0.64
     describ
    0.63
     involved
    0.63
     consecut
    0.63
     involving
    0.62
    hips
    0.60
    Activations Density 0.726%

    No Known Activations