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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. 3-RES-JB
    11. 3427
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    INDEX
    Explanations

    words related to eating food or consuming nutrients

    oai_token-act-pair · gpt-3.5-turbo

    references to food consumption and dietary practices

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Square
    -0.82
    ploma
    -0.75
    Merit
    -0.73
    Street
    -0.73
    Roy
    -0.70
     simultane
    -0.70
    VK
    -0.69
    mort
    -0.68
    park
    -0.68
    Student
    -0.67
    POSITIVE LOGITS
     ingested
    0.95
     digestion
    0.92
     microbes
    0.91
     prey
    0.86
    worms
    0.85
     bacteria
    0.85
     Consumption
    0.84
     glands
    0.82
     ingestion
    0.82
     consumed
    0.80
    Activations Density 0.114%

    No Known Activations