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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. 6-RES-JB
    11. 12211
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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 @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    Weiss
    -0.85
     Weiss
    -0.83
     Montana
    -0.82
     Webster
    -0.82
     Asheville
    -0.82
     Pennsylvania
    -0.82
     Olson
    -0.81
     Vermont
    -0.81
     Tulsa
    -0.80
     Spokane
    -0.78
    POSITIVE LOGITS
    jriwal
    1.34
    umbai
    1.18
     lakh
    1.12
     Rs
    1.07
     Hindi
    1.07
     Tamil
    1.04
     Sharma
    1.02
     Aadhaar
    1.02
     learnt
    1.01
    India
    0.98
    Activations Density 1.247%

    No Known Activations