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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. 9581
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    Explanations

    mentions of barbecue-related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to barbecue and related food items

    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
    uthor
    -0.96
     Dele
    -0.90
     DeVos
    -0.78
     ETH
    -0.74
    andon
    -0.72
     Knight
    -0.71
     Ach
    -0.70
     Ud
    -0.70
    sten
    -0.70
    umen
    -0.69
    POSITIVE LOGITS
     BBQ
    2.96
     barbecue
    2.82
     ribs
    2.39
     rib
    2.27
     grill
    2.15
     Rib
    1.94
    becue
    1.90
     brisk
    1.67
     picnic
    1.46
     Pork
    1.44
    Activations Density 0.042%

    No Known Activations