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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. 22903
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    Explanations

    technology-related terms and predictions for future trends

    oai_token-act-pair · gpt-3.5-turbo

    mentions of future events or expectations

    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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    No Comments

    Negative Logits
     risked
    -0.65
     smelled
    -0.63
     despised
    -0.63
     cannot
    -0.62
    anium
    -0.62
    dit
    -0.61
    ccess
    -0.61
     wisely
    -0.60
    Ł
    -0.60
     Tycoon
    -0.59
    POSITIVE LOGITS
     uptick
    0.95
     convergence
    0.91
     resurgence
    0.90
     trickle
    0.88
     deterioration
    0.88
     improvement
    0.85
     variation
    0.82
     VIDEOS
    0.81
     reactions
    0.80
     outcry
    0.80
    Activations Density 0.443%

    No Known Activations