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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. 8-RES-JB
    11. 17087
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    Explanations

    text related to work or tasks being completed or in progress

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of "work."

    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
    Not in Any Lists

    No Comments

    Negative Logits
     Ukrain
    -0.96
    wcs
    -0.86
    iren
    -0.71
    EStream
    -0.71
     Gord
    -0.69
     Flavoring
    -0.67
    ylon
    -0.67
     constitu
    -0.67
     Bubble
    -0.66
     champagne
    -0.66
    POSITIVE LOGITS
    station
    1.40
     ethic
    1.40
    bench
    1.36
    flows
    1.35
    manship
    1.33
    horse
    1.30
    aday
    1.26
    forces
    1.14
    fare
    1.09
    papers
    1.03
    Activations Density 0.063%

    No Known Activations