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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. 8-RES-JB
    11. 3399
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    Explanations

    words related to violent and deadly actions

    oai_token-act-pair · gpt-3.5-turbo

    references to casualties and fatal incidents

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    wcsstore
    -0.77
    áµ
    -0.71
    âķIJ
    -0.70
    uyomi
    -0.69
    ãĤ´ãĥ³
    -0.68
    soType
    -0.68
    Url
    -0.64
    ORPG
    -0.63
    adium
    -0.61
    agate
    -0.60
    POSITIVE LOGITS
     civilians
    0.93
     innocent
    0.89
     dozens
    0.88
     bystanders
    0.83
     wounded
    0.78
     bystand
    0.76
     victims
    0.75
     Bernardino
    0.74
     survivors
    0.73
     wounding
    0.72
    Activations Density 0.086%

    No Known Activations