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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. 7-RES-JB
    11. 7312
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    Explanations

    references to the sports team "Nashville Predators"

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    oard
    -0.85
    agos
    -0.78
    osph
    -0.74
    ternally
    -0.73
    erer
    -0.72
    ffen
    -0.72
    ebook
    -0.72
    isin
    -0.71
    berman
    -0.70
    ------------------------------------------------
    -0.70
    POSITIVE LOGITS
     Predators
    1.29
     Nashville
    0.82
     Tenn
    0.79
    daq
    0.70
     Canadiens
    0.68
     Pictures
    0.66
    е
    0.66
     Helsinki
    0.66
    bugs
    0.64
     Jarrett
    0.63
    Activations Density 0.038%

    No Known Activations