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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. 15133
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    Explanations

    phrases starting points for a list or enumeration

    oai_token-act-pair · gpt-3.5-turbo

    lists or enumerations of items or concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
     guiActiveUnfocused
    -0.71
    ans
    -0.68
    amphetamine
    -0.67
    matter
    -0.67
     intrusion
    -0.66
    existent
    -0.65
    fulness
    -0.65
     Dragonbound
    -0.63
    ibr
    -0.63
    endor
    -0.61
    POSITIVE LOGITS
     some
    1.20
     excerpts
    1.11
     five
    1.08
     few
    1.01
     three
    1.01
     seven
    0.98
     SOME
    0.97
     several
    0.97
     two
    0.95
     four
    0.94
    Activations Density 0.050%

    No Known Activations