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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. 7-RES-JB
    11. 6425
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    INDEX
    Explanations

    mentions of violent attacks and mass shooting incidents

    oai_token-act-pair · gpt-3.5-turbo

    references to mass shootings and their impacts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    dit
    -0.91
     Regulatory
    -0.83
    utical
    -0.80
    lishes
    -0.79
    english
    -0.74
    hair
    -0.73
    iculture
    -0.71
    "}],"
    -0.71
    ocobo
    -0.71
    Stud
    -0.70
    POSITIVE LOGITS
     unarmed
    1.19
     shootings
    1.10
     gunned
    1.07
     massacre
    1.07
     gunman
    1.07
     bombing
    1.01
     murdered
    1.00
     bombings
    0.99
     atroc
    0.96
     massac
    0.95
    Activations Density 0.553%

    No Known Activations