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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. 24088
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    Explanations

    words related to beverages

    oai_token-act-pair · gpt-3.5-turbo

    references to containers or amounts of items

    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
    urion
    -0.88
    boxing
    -0.86
    days
    -0.75
    heses
    -0.75
    initions
    -0.74
    alty
    -0.71
    projects
    -0.71
    ivals
    -0.70
    hesis
    -0.70
    uries
    -0.69
    POSITIVE LOGITS
     groceries
    0.93
     rice
    0.91
     tuna
    0.90
     popcorn
    0.88
     cereal
    0.88
     beans
    0.87
     tomatoes
    0.86
     ram
    0.86
     diced
    0.85
     soup
    0.84
    Activations Density 0.092%

    No Known Activations