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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. 2-RES-JB
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    Explanations

    mentions of dinner events or activities

    oai_token-act-pair · gpt-3.5-turbo

    mentions of dinner events or gatherings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    shr
    -0.66
    ulative
    -0.65
     Weld
    -0.64
    DEP
    -0.64
    ounty
    -0.63
    articles
    -0.62
     Archangel
    -0.62
    fram
    -0.61
    negative
    -0.61
    controlled
    -0.61
    POSITIVE LOGITS
     dinners
    1.23
     dinner
    1.20
     meal
    1.12
     meals
    1.11
     supper
    1.08
     Dinner
    0.99
    eteria
    0.95
     banquet
    0.90
     guests
    0.87
    halla
    0.85
    Activations Density 0.012%

    No Known Activations