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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. 4-RES-JB
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    Explanations

    phrases related to drinking water

    oai_token-act-pair · gpt-3.5-turbo

    mentions of drinking and associated contexts

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

    No Comments

    Negative Logits
    sure
    -0.74
    pora
    -0.70
    orp
    -0.69
    moving
    -0.68
    quite
    -0.67
    asia
    -0.65
    locked
    -0.65
     Sharif
    -0.64
    xual
    -0.64
    eers
    -0.63
    POSITIVE LOGITS
     drinking
    1.00
     alcohol
    0.94
    cohol
    0.92
     bottles
    0.92
     beverage
    0.91
     fountain
    0.91
     water
    0.91
     beverages
    0.89
     gallons
    0.89
     Drink
    0.88
    Activations Density 0.012%

    No Known Activations