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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. 11-RES-JB
    11. 5620
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    Explanations

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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 @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     induct
    -0.75
     cataly
    -0.73
     McCarthy
    -0.72
     Coh
    -0.71
     Cay
    -0.65
     biochemical
    -0.64
     loopholes
    -0.64
     petrol
    -0.64
     Consulting
    -0.64
     hearings
    -0.63
    POSITIVE LOGITS
    png
    1.60
     resize
    1.55
     PNG
    1.51
     Thumbnails
    1.46
    thumbnails
    1.41
     JPEG
    1.41
    jpg
    1.36
     zoom
    1.34
     cropped
    1.33
     img
    1.31
    Activations Density 0.245%

    No Known Activations