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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. 11-RES-JB
    6. 18340
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    INDEX
    Explanations

    mention of the term "Top" followed by a number, potentially relating to rankings or lists

    oai_token-act-pair · gpt-3.5-turbo

    references to rankings or top lists

    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
    Not in Any Lists

    No Comments

    Negative Logits
    ATIONS
    -0.58
     Lauder
    -0.57
     daylight
    -0.55
     Schwe
    -0.54
    ities
    -0.54
    ³³³
    -0.53
     Judd
    -0.53
     Mub
    -0.52
    ITED
    -0.52
     foreseeable
    -0.52
    POSITIVE LOGITS
    ographical
    1.31
    ography
    1.21
    ographic
    1.17
    ographically
    1.15
    iaries
    1.13
    iary
    1.10
    eka
    1.08
    ographies
    1.06
     notch
    1.05
    ology
    1.00
    Activations Density 0.043%

    No Known Activations