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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. 10-RES-JB
    11. 5566
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    Explanations

    mentions of physical injuries or harm

    oai_token-act-pair · gpt-3.5-turbo

    references to injuries in various incidents

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    DragonMagazine
    -0.85
    istries
    -0.68
    soDeliveryDate
    -0.67
    perm
    -0.64
    ozo
    -0.63
     inev
    -0.61
    hett
    -0.61
    alogy
    -0.61
    ullivan
    -0.59
    pires
    -0.58
    POSITIVE LOGITS
     badly
    0.86
    jured
    0.84
     bystanders
    0.83
     sustained
    0.81
    ../
    0.78
     inflicted
    0.73
     severely
    0.72
     injuring
    0.71
     during
    0.69
    pez
    0.67
    Activations Density 0.048%

    No Known Activations