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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. 10-RES-JB
    11. 8252
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    Explanations

    instances of rewards or being rewarded

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "reward" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    abad
    -0.77
    pora
    -0.75
    colo
    -0.71
    enium
    -0.70
    abases
    -0.69
    stones
    -0.68
    lander
    -0.68
     Sloven
    -0.68
    pol
    -0.65
    behind
    -0.64
    POSITIVE LOGITS
     rewarded
    0.91
    giving
    0.79
     rewards
    0.79
     incentiv
    0.78
     tiers
    0.78
     incentive
    0.77
     recipients
    0.77
     reward
    0.76
     incentives
    0.74
     reap
    0.71
    Activations Density 0.084%

    No Known Activations