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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. 21552
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    Explanations

    terms related to rules, requirements, and approval processes

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating requirements or conditions for approval or action

    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
    mast
    -0.77
     tyr
    -0.76
    roach
    -0.74
    raph
    -0.70
    agate
    -0.70
    orative
    -0.69
    rift
    -0.69
    Dial
    -0.69
    jad
    -0.68
    hunt
    -0.68
    POSITIVE LOGITS
     approval
    1.47
     unanimous
    1.39
     votes
    1.32
     ratification
    1.30
     approvals
    1.30
     signatures
    1.28
     unanim
    1.27
     convincing
    1.10
     authorization
    1.10
     ratified
    1.09
    Activations Density 0.331%

    No Known Activations