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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. 0-RES-JB
    11. 9475
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    Explanations

    words related to potential risks or dangers

    oai_token-act-pair · gpt-3.5-turbo

    references to hazards and risks in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    dn
    -0.67
    coni
    -0.67
    enses
    -0.64
    Saudi
    -0.62
    cc
    -0.61
     Brendan
    -0.60
     Raj
    -0.60
    turned
    -0.60
     Patri
    -0.60
    nan
    -0.60
    POSITIVE LOGITS
     hazard
    4.27
     hazards
    3.23
     Hazard
    2.36
    hazard
    2.32
     hazardous
    1.81
    azard
    1.66
     Haz
    1.48
     risk
    1.35
     dangers
    1.26
     danger
    1.25
    Activations Density 0.015%

    No Known Activations