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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. 4-RES-JB
    11. 4097
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    Explanations

    references to rewards or incentives

    oai_token-act-pair · gpt-3.5-turbo

    references to rewards and their significance

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

    No Comments

    Negative Logits
    abad
    -0.79
    enium
    -0.75
     Osw
    -0.68
     Extrem
    -0.68
    lander
    -0.68
    ovie
    -0.66
     Ange
    -0.65
     Sloven
    -0.64
    abases
    -0.64
    thus
    -0.64
    POSITIVE LOGITS
     reward
    1.20
     rewards
    1.06
     rewarded
    1.04
    Reward
    0.89
     rewarding
    0.88
     Reward
    0.83
     payoff
    0.81
     recipients
    0.79
     incentive
    0.78
     reap
    0.75
    Activations Density 0.015%

    No Known Activations