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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. 16309
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    Explanations

    phrases related to putting something or someone at risk

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to risk and danger to individuals or groups

    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
    FTWARE
    -0.75
    ruby
    -0.69
    planes
    -0.65
    forms
    -0.63
    pher
    -0.60
    wash
    -0.57
    milo
    -0.57
    tracking
    -0.56
     Smooth
    -0.56
     greeted
    -0.56
    POSITIVE LOGITS
     risk
    1.68
     peril
    1.22
    risk
    1.19
     jeopardy
    1.18
     danger
    1.16
     stake
    1.16
     Risk
    1.15
     hazard
    1.14
     risks
    1.14
     odds
    1.10
    Activations Density 0.088%

    No Known Activations