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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. 10-RES-JB
    6. 4074
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    Explanations

    requests for information or action using the phrase "Can you" followed by a verb

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    yk
    -0.76
    furt
    -0.73
    DERR
    -0.73
    ukemia
    -0.72
    senal
    -0.68
    stanbul
    -0.67
    enez
    -0.66
    hung
    -0.66
    assic
    -0.65
    ĸļ士
    -0.65
    POSITIVE LOGITS
     imagine
    1.29
     afford
    1.18
     please
    1.16
     PLEASE
    1.08
     quantify
    1.05
     explain
    0.92
     tell
    0.91
     conceive
    0.90
     assure
    0.90
     summarize
    0.89
    Activations Density 0.043%

    No Known Activations