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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. 13255
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    Explanations

    phrases related to putting something at risk or in danger

    oai_token-act-pair · gpt-3.5-turbo

    phrases that discuss risk to lives 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
     Franch
    -0.73
    orrect
    -0.71
     hindsight
    -0.69
    Clear
    -0.68
     retrospect
    -0.65
    MENT
    -0.63
    aturday
    -0.62
    notation
    -0.60
     spelled
    -0.58
    universal
    -0.58
    POSITIVE LOGITS
    slave
    1.02
     prey
    0.90
     helpless
    0.89
     obedient
    0.88
     hostage
    0.87
    serv
    0.86
     bait
    0.84
     ransom
    0.81
     slave
    0.79
     unwitting
    0.78
    Activations Density 0.841%

    No Known Activations