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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 8099
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    INDEX
    Explanations

    words related to various types of risks or mentions of risk-taking

    oai_token-act-pair · gpt-3.5-turbo

    terms related to financial or situational risk

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    gdala
    -0.78
    ergy
    -0.75
    atters
    -0.72
    elf
    -0.72
    CLE
    -0.70
    ī
    -0.68
    Dispatch
    -0.67
    poons
    -0.67
    Favorite
    -0.66
    eve
    -0.66
    POSITIVE LOGITS
    taking
    0.92
    crow
    0.83
     gamble
    0.80
    azard
    0.77
    udic
    0.77
     aversion
    0.75
     risks
    0.74
    lessly
    0.72
     jeopard
    0.71
    saf
    0.70
    Activations Density 0.029%

    No Known Activations