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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. 13302
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    Explanations

    technical terms related to centralization and specific locations

    oai_token-act-pair · gpt-3.5-turbo

    terms related to organization, structure, and security

    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
    Nazis
    -1.01
    stories
    -0.97
    iments
    -0.94
    aunts
    -0.93
    andals
    -0.92
    ears
    -0.91
    iddles
    -0.91
    Americans
    -0.90
    ampires
    -0.90
    friends
    -0.86
    POSITIVE LOGITS
     mechanism
    1.05
     schedule
    1.03
     procedure
    1.01
     arrangement
    1.01
     database
    1.00
     subset
    0.98
     format
    0.96
     version
    0.95
     questionnaire
    0.95
     formula
    0.94
    Activations Density 0.380%

    No Known Activations