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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. 12398
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    Explanations

    text related to presentations, discussions, or reports happening in an organized context like meetings or workshops

    oai_token-act-pair · gpt-3.5-turbo

    key terms associated with research funding and academic discussions

    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
     revenge
    -0.85
     destro
    -0.83
     ruined
    -0.81
     wrecked
    -0.79
     insane
    -0.78
     legit
    -0.78
     ruining
    -0.77
     daddy
    -0.77
    advertising
    -0.77
     insanely
    -0.77
    POSITIVE LOGITS
     submissions
    1.12
     Participants
    1.04
     Chair
    1.04
    ospons
    1.04
     Subcommittee
    1.02
    particip
    1.02
     excerpts
    1.02
     presentations
    1.02
     Appendix
    1.00
     summar
    1.00
    Activations Density 0.578%

    No Known Activations