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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. 15852
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    Explanations

    the name "Brownstein."

    oai_token-act-pair · gpt-3.5-turbo

    repeated mentions of the name "Einstein"

    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
     tradem
    -0.73
    profits
    -0.70
    accompan
    -0.69
     runaway
    -0.66
     mileage
    -0.63
     vested
    -0.63
    phas
    -0.62
    olved
    -0.61
     burnt
    -0.60
     clipboard
    -0.60
    POSITIVE LOGITS
    stein
    1.71
    berg
    1.21
    haus
    0.98
    wald
    0.97
    hardt
    0.94
    bach
    0.92
    er
    0.88
    gren
    0.88
    owitz
    0.88
     Tanz
    0.87
    Activations Density 0.008%

    No Known Activations