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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. 9-RES-JB
    11. 3654
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    Explanations

    mentions of physical harm or injuries

    oai_token-act-pair · gpt-3.5-turbo

    mentions of injuries in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    soDeliveryDate
    -0.76
    istries
    -0.76
    perm
    -0.73
    DragonMagazine
    -0.68
     snipp
    -0.65
    SpaceEngineers
    -0.65
    oS
    -0.64
    ullivan
    -0.63
    alogy
    -0.61
    ãĥĪ
    -0.61
    POSITIVE LOGITS
     sustained
    0.90
     bystanders
    0.88
    ../
    0.85
    jured
    0.83
     inflicted
    0.83
     badly
    0.78
     injuring
    0.77
     wounding
    0.76
     wounds
    0.72
    pless
    0.70
    Activations Density 0.072%

    No Known Activations