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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. 1-RES-JB
    11. 18650
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    Explanations

    phrases related to physical harm or extreme suffering

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of torture

    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
    uese
    -0.91
    tesy
    -0.81
    chwitz
    -0.79
    awn
    -0.79
    arma
    -0.75
    arthed
    -0.73
    ORPG
    -0.71
    udos
    -0.70
    uin
    -0.69
    ury
    -0.68
    POSITIVE LOGITS
     tortured
    0.94
     Homs
    0.84
     Jeanne
    0.77
     Calais
    0.73
    Palest
    0.71
     ABE
    0.69
     vain
    0.67
     Pett
    0.65
    claw
    0.65
     Barbie
    0.65
    Activations Density 0.028%

    No Known Activations