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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. 0-RES-JB
    11. 22749
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    INDEX
    Explanations

    the word "bonus" with a high level of activation

    oai_token-act-pair · gpt-3.5-turbo

    references to bonuses and financial incentives

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    govern
    -0.72
    founded
    -0.72
    eworks
    -0.72
    agn
    -0.71
    ichen
    -0.69
    pers
    -0.67
     Reprodu
    -0.67
    annel
    -0.67
    ody
    -0.66
    Spe
    -0.65
    POSITIVE LOGITS
     bonus
    3.73
     bonuses
    2.96
     Bonus
    2.60
    Bonus
    2.04
     incentive
    1.39
     perk
    1.38
     penalty
    1.36
     perks
    1.32
     multiplier
    1.29
     modifier
    1.25
    Activations Density 0.016%

    No Known Activations