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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. 24427
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    Explanations

    words related to danger or threats

    oai_token-act-pair · gpt-3.5-turbo

    references to danger or risk

    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
    ergy
    -0.70
    ulous
    -0.69
    issance
    -0.68
    orney
    -0.63
    odore
    -0.62
    FY
    -0.60
    anmar
    -0.60
    GB
    -0.59
    atters
    -0.59
    pel
    -0.59
    POSITIVE LOGITS
     posed
    1.12
    ously
    1.05
     lur
    1.03
     lurking
    1.01
     hazards
    0.94
    ous
    0.92
     zone
    0.90
     inherent
    0.83
     hazard
    0.83
    OUS
    0.81
    Activations Density 0.043%

    No Known Activations