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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. 2-RES-JB
    11. 23098
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    Explanations

    phrases related to rewards or incentives

    oai_token-act-pair · gpt-3.5-turbo

    phrases related 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 @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    STD
    -0.69
    lander
    -0.66
     Extrem
    -0.63
     Ange
    -0.62
    abad
    -0.62
     Benz
    -0.62
    nee
    -0.61
    head
    -0.61
     Apocalypse
    -0.61
    enium
    -0.60
    POSITIVE LOGITS
     reward
    1.41
     rewards
    1.25
     rewarded
    1.17
    Reward
    1.01
     Reward
    0.97
     rewarding
    0.97
     reinforcement
    0.88
     payoff
    0.84
     recipients
    0.84
     fulfillment
    0.84
    Activations Density 0.012%

    No Known Activations