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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. 10-RES-JB
    11. 11199
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    Explanations

    specific dates and locations

    oai_token-act-pair · gpt-3.5-turbo

    event details, including dates, locations, and specific experiences related to those events

    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
     paralle
    -0.88
     likewise
    -0.87
     spir
    -0.87
     prolifer
    -0.83
     spinning
    -0.81
     increasingly
    -0.81
     additionally
    -0.81
     moss
    -0.80
     dab
    -0.79
     glowing
    -0.79
    POSITIVE LOGITS
    Status
    1.71
    Duration
    1.66
    Location
    1.60
    Length
    1.57
    Age
    1.57
    Synopsis
    1.56
    Country
    1.56
    Date
    1.55
    Summary
    1.54
    Subject
    1.53
    Activations Density 0.135%

    No Known Activations