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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. 9-RES-JB
    11. 3769
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    Explanations

    the phrase "a lot of"

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ħĭ
    -0.75
    era
    -0.73
    ESCO
    -0.70
    merce
    -0.69
    inth
    -0.68
    %]
    -0.67
    tm
    -0.66
    ares
    -0.63
    hran
    -0.62
    rones
    -0.62
    POSITIVE LOGITS
     nuance
    0.86
     riding
    0.84
     overlap
    0.82
     going
    0.82
     happening
    0.81
     similarities
    0.79
     conjecture
    0.79
     uncertainties
    0.76
     upside
    0.75
     misinformation
    0.75
    Activations Density 0.124%

    No Known Activations