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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. 1-RES-JB
    11. 15306
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    Explanations

    adjectives or descriptions related to risk or danger

    oai_token-act-pair · gpt-3.5-turbo

    references to risk and gambling

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    upon
    -0.93
    Nap
    -0.81
    ann
    -0.81
    onne
    -0.80
    installed
    -0.78
    through
    -0.77
    bleacher
    -0.77
    shall
    -0.77
    frey
    -0.76
    innie
    -0.76
    POSITIVE LOGITS
     risky
    1.30
     gamble
    1.14
     gamb
    0.99
     undermin
    0.94
     risks
    0.93
     risk
    0.90
     bets
    0.87
     sounding
    0.84
    ModLoader
    0.80
     proposition
    0.80
    Activations Density 0.008%

    No Known Activations