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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. 14332
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    INDEX
    Explanations

    references to business-related terms

    oai_token-act-pair · gpt-3.5-turbo

    terms related to business stability and performance metrics

    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
    Not in Any Lists

    No Comments

    Negative Logits
     equivalents
    -0.94
     copies
    -0.88
     bells
    -0.86
     Reps
    -0.86
     aliens
    -0.85
    Nazis
    -0.85
    icides
    -0.83
     inventions
    -0.83
    zees
    -0.83
    onyms
    -0.83
    POSITIVE LOGITS
     environment
    1.29
     trajectory
    1.15
     regimen
    1.13
     backdrop
    1.11
     atmosphere
    1.11
     situation
    1.10
     vibe
    1.10
     outlook
    1.09
     schedule
    1.07
     footprint
    1.06
    Activations Density 0.474%

    No Known Activations