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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. 11-RES-JB
    11. 1551
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    INDEX
    Explanations

    phrases expressing expectations or evaluations of deservingness

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating unfairness or inequity in treatment or expectations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ²¾
    -0.72
    athi
    -0.64
    ecycle
    -0.63
    Listener
    -0.62
     Clouds
    -0.62
    ARCH
    -0.61
    unct
    -0.60
    arch
    -0.60
     Ernst
    -0.59
    arij
    -0.58
    POSITIVE LOGITS
     compensation
    1.20
     recomp
    1.15
     concessions
    1.13
     reward
    1.11
     payout
    1.06
     rewards
    1.04
     bribes
    1.03
     payoff
    1.01
     reimbursement
    1.01
     gratification
    1.01
    Activations Density 0.437%

    No Known Activations