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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. 1-RES-JB
    11. 18725
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    Explanations

    keywords related to rewards and bonuses

    oai_token-act-pair · gpt-3.5-turbo

    references to rewards and incentives

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Extrem
    -0.72
    lining
    -0.67
    STD
    -0.65
     Nun
    -0.62
    CLOSE
    -0.62
    airo
    -0.61
     Illum
    -0.60
    mis
    -0.60
    ondo
    -0.60
     Vi
    -0.60
    POSITIVE LOGITS
     reward
    1.56
     rewards
    1.39
    Reward
    1.26
     rewarded
    1.20
     Reward
    1.15
     rewarding
    0.98
     punish
    0.86
     reinforcement
    0.85
     payoff
    0.85
     uncond
    0.83
    Activations Density 0.010%

    No Known Activations