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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. 10-RES-JB
    11. 10299
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    Explanations

    specific phrases related to various campaigns, initiatives, and organizations

    oai_token-act-pair · gpt-3.5-turbo

    keywords related to community engagement and social initiatives

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     extingu
    -0.77
     orchestr
    -0.76
     muted
    -0.75
     mechanically
    -0.72
     subdiv
    -0.72
     scattered
    -0.71
     grav
    -0.70
     suspended
    -0.70
     optionally
    -0.69
     landfall
    -0.68
    POSITIVE LOGITS
     Convers
    1.15
     Respons
    1.14
     Voices
    1.12
    Know
    1.07
     Matters
    1.06
     Places
    1.04
     Facts
    1.04
    Better
    1.04
     Change
    1.03
     Strategies
    1.03
    Activations Density 0.370%

    No Known Activations