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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. 11-RES-JB
    11. 9360
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    Explanations

    descriptions of various establishments or places within a community

    oai_token-act-pair · gpt-3.5-turbo

    descriptions of dining experiences and restaurant features

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ģĸ
    -0.90
    etimes
    -0.88
    analy
    -0.83
    Filename
    -0.80
    20439
    -0.79
    ãĥ©ãĥ³
    -0.79
    Protect
    -0.77
    Lear
    -0.75
    Analysis
    -0.75
    ulner
    -0.75
    POSITIVE LOGITS
     booths
    1.37
     restrooms
    1.36
     upstairs
    1.27
     bathrooms
    1.27
     downstairs
    1.25
     cafe
    1.24
     seating
    1.22
     cozy
    1.21
     cafes
    1.21
     vibe
    1.20
    Activations Density 0.428%

    No Known Activations