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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. 3-RES-JB
    11. 11330
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    Explanations

    adjectives related to violence

    oai_token-act-pair · gpt-3.5-turbo

    references to violent behavior or incidents

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    heit
    -0.89
    obyl
    -0.81
    regon
    -0.80
    ļéĨĴ
    -0.77
    ocular
    -0.76
    ovember
    -0.76
    è£ħ
    -0.73
    STER
    -0.73
    omo
    -0.73
    printed
    -0.72
    POSITIVE LOGITS
     violence
    0.97
     violent
    0.94
     offenders
    0.88
     suppression
    0.88
     Islamist
    0.86
     gang
    0.85
     assault
    0.85
     extremism
    0.84
     deaths
    0.83
     retribution
    0.83
    Activations Density 0.011%

    No Known Activations