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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. 11-RES-JB
    11. 11170
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    INDEX
    Explanations

    information about physical harm or injuries inflicted on individuals

    oai_token-act-pair · gpt-3.5-turbo

    terms related to injuries and casualties

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    DragonMagazine
    -0.84
    istries
    -0.75
    az
    -0.66
    adian
    -0.64
    alogy
    -0.62
    Sync
    -0.62
    ullivan
    -0.58
    pires
    -0.58
    appa
    -0.57
    izons
    -0.57
    POSITIVE LOGITS
     bystanders
    0.87
     sustained
    0.81
     during
    0.78
     badly
    0.78
     inflicted
    0.75
    jured
    0.72
     by
    0.70
     injuring
    0.68
     injure
    0.67
    monton
    0.67
    Activations Density 0.061%

    No Known Activations