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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. 11-RES-JB
    11. 16480
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    Explanations

    instances where something is described as part of a broader whole or initiative

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to components or elements of larger systems or organizations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     millenn
    -0.70
     unbeliev
    -0.68
     cumbers
    -0.68
    Þ
    -0.68
     eleph
    -0.66
    ß
    -0.65
     enthusi
    -0.65
     occas
    -0.64
     tyr
    -0.64
     exting
    -0.62
    POSITIVE LOGITS
     of
    1.12
     thereof
    0.90
     OF
    0.84
    ridge
    0.82
    Of
    0.82
     Of
    0.80
    aking
    0.79
    OF
    0.75
    displayText
    0.71
    meal
    0.69
    Activations Density 0.018%

    No Known Activations