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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. 24211
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    Explanations

    references to bonuses or rewards

    oai_token-act-pair · gpt-3.5-turbo

    references to bonus points or rewards

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    scape
    -0.86
    ãĤ¢ãĥ«
    -0.84
    lé
    -0.76
    apest
    -0.75
    tics
    -0.74
    uart
    -0.71
    abad
    -0.70
    gro
    -0.70
    nian
    -0.70
    turn
    -0.70
    POSITIVE LOGITS
     bonus
    0.95
     depreciation
    0.89
     payout
    0.78
     parach
    0.78
     incentive
    0.75
     perk
    0.74
     parachute
    0.74
     accrued
    0.74
     bonuses
    0.72
     tiers
    0.72
    Activations Density 0.047%

    No Known Activations