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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. 3-RES-JB
    11. 23115
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    Explanations

    stock market tickers

    oai_token-act-pair · gpt-3.5-turbo

    references to stock market ticker symbols and financial entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    naires
    -0.71
    headers
    -0.68
    frame
    -0.64
     Wilkinson
    -0.64
     Ramadan
    -0.61
     WARN
    -0.58
     Afgh
    -0.57
    flies
    -0.56
    steps
    -0.56
    ometry
    -0.56
    POSITIVE LOGITS
    DAQ
    1.85
    NAS
    1.37
    daq
    1.27
    TY
    1.11
    CAR
    1.06
    emonic
    0.90
    IFIED
    0.89
    NYSE
    0.88
     NAS
    0.88
    essor
    0.88
    Activations Density 0.007%

    No Known Activations