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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 1-RES-JB
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    Explanations

    mentions of actions or systems related to punishment or legal consequences

    oai_token-act-pair · gpt-3.5-turbo

    the term "penal" in various contexts related to legal consequences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    eds
    -0.70
    timer
    -0.67
     Eur
    -0.67
    worth
    -0.66
    iki
    -0.66
     RIS
    -0.65
    IFE
    -0.65
    elf
    -0.63
    Meet
    -0.62
    cot
    -0.62
    POSITIVE LOGITS
     penal
    1.48
     punished
    1.02
     punish
    0.97
     fined
    0.95
     penalty
    0.88
     incentiv
    0.86
    ized
    0.86
     sanction
    0.81
     exha
    0.80
    interstitial
    0.80
    Activations Density 0.004%

    No Known Activations