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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. 1-RES-JB
    6. 6085
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    INDEX
    Explanations

    the word "miner" or variations of it

    oai_token-act-pair · gpt-3.5-turbo

    references to miners

    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
    variable
    -0.75
     Liberties
    -0.71
    ipal
    -0.71
    WT
    -0.70
    WD
    -0.69
    null
    -0.69
    ending
    -0.69
     Clo
    -0.68
    orne
    -0.68
     Booth
    -0.68
    POSITIVE LOGITS
     miner
    1.37
     miners
    1.32
     corrid
    1.11
     mined
    0.95
     obser
    0.89
     mining
    0.88
     crates
    0.80
     ore
    0.78
     gobl
    0.78
    Merit
    0.77
    Activations Density 0.007%

    No Known Activations