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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. 0-RES-JB
    6. 14409
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    INDEX
    Explanations

    phrases related to an intense pursuit or search

    oai_token-act-pair · gpt-3.5-turbo

    references to "hunts" or hunting-related activities

    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
     Consent
    -0.69
     Kissinger
    -0.68
     Dys
    -0.67
    medi
    -0.66
     Disability
    -0.66
     Equity
    -0.63
    anes
    -0.62
     Static
    -0.60
     Sachs
    -0.60
     Errors
    -0.59
    POSITIVE LOGITS
     hunt
    3.81
     hunts
    2.66
    hunt
    2.39
     hunted
    2.23
     Hunt
    2.04
     hunting
    2.02
    Hunt
    1.96
     hunters
    1.85
     hunter
    1.72
     chase
    1.68
    Activations Density 0.012%

    No Known Activations