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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. 7-RES-JB
    6. 20931
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    Explanations

    words related to time and sequencing

    oai_token-act-pair · gpt-3.5-turbo

    the end of text markers indicating the completion of thought or content

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĤ§
    -0.75
    advertisement
    -0.75
    arse
    -0.73
    ascus
    -0.68
    ãĤ´ãĥ³
    -0.67
    inav
    -0.65
    ////////////////
    -0.63
    iggurat
    -0.62
    Rated
    -0.62
    displayText
    -0.62
    POSITIVE LOGITS
     Britons
    0.74
     Americans
    0.72
     respondents
    0.70
     archaeologists
    0.68
     historians
    0.68
     politicians
    0.68
     anyone
    0.67
     people
    0.67
     voters
    0.67
     ISPs
    0.67
    Activations Density 0.606%

    No Known Activations