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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. 8-RES-JB
    6. 22249
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    Explanations

    phrases related to providing or lacking information or evidence in a structured manner

    oai_token-act-pair · gpt-3.5-turbo

    references to judicial processes or legal testimony

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Lithuan
    -0.73
    utenberg
    -0.56
     Jupiter
    -0.56
     circled
    -0.56
     sandwic
    -0.54
     envelope
    -0.54
     Auckland
    -0.54
    loo
    -0.54
     shortly
    -0.53
     Venus
    -0.51
    POSITIVE LOGITS
     nor
    1.71
     anymore
    1.42
     slightest
    1.25
    nor
    1.23
     whatsoever
    1.18
     anything
    1.14
     any
    1.12
    soever
    1.05
    anything
    1.04
    ught
    1.03
    Activations Density 0.986%

    No Known Activations