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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. 15707
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    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
    ĪĴ
    -0.64
    ymes
    -0.63
    ãĤ¼ãĤ¦ãĤ¹
    -0.62
    ulence
    -0.59
    ãĥ¯ãĥ³
    -0.59
    essen
    -0.59
    uterte
    -0.58
    leck
    -0.56
    ESA
    -0.55
    ãĤµ
    -0.54
    POSITIVE LOGITS
     until
    1.59
     till
    1.50
     indefinitely
    1.46
     forever
    1.41
    until
    1.35
     since
    1.27
     awhile
    1.21
     longest
    1.10
     longer
    1.09
     continuously
    1.04
    Activations Density 1.052%

    No Known Activations