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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. 0-RES-JB
    11. 6878
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    Explanations

    words related to sports and playgrounds

    oai_token-act-pair · gpt-3.5-turbo

    references to sports and playgrounds

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ratios
    -0.75
     Rath
    -0.70
     pledged
    -0.69
     pledging
    -0.69
     redacted
    -0.67
     Kell
    -0.66
     Tens
    -0.66
    omen
    -0.65
     Cornell
    -0.65
     batches
    -0.65
    POSITIVE LOGITS
    Sport
    2.38
     playground
    2.00
     outlet
    1.66
    bike
    1.24
    esville
    1.04
    Shop
    0.99
    urban
    0.99
     sandbox
    0.96
    itta
    0.91
    athlon
    0.88
    Activations Density 0.046%

    No Known Activations