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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. 3002
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    Explanations

    names or references to individuals

    oai_token-act-pair · gpt-3.5-turbo

    references to a specific individual or names associated with events or contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
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    Negative Logits
     Kinnikuman
    -0.59
    é¾įå¥ij士
    -0.59
     Galileo
    -0.52
     GD
    -0.51
    rawdownloadcloneembedreportprint
    -0.51
    gression
    -0.51
     karma
    -0.51
     Croatian
    -0.49
    ãĥĹ
    -0.49
    ocated
    -0.49
    POSITIVE LOGITS
    uliffe
    0.94
    amia
    0.80
    adden
    0.80
    aney
    0.79
    arty
    0.78
    enzie
    0.75
    intosh
    0.74
    urdy
    0.73
    arlane
    0.72
    endon
    0.71
    Activations Density 0.062%

    No Known Activations