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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. 10-RES-JB
    11. 10129
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    Explanations

    references to or mentions of different types of bowls

    oai_token-act-pair · gpt-3.5-turbo

    references to bowls and their usage in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Lauder
    -0.83
    bourg
    -0.66
     UTC
    -0.61
     Intercept
    -0.60
     Dame
    -0.60
     Phantom
    -0.60
     Greenwich
    -0.59
     Benson
    -0.58
     Anarchy
    -0.58
     Assass
    -0.57
    POSITIVE LOGITS
    pipe
    1.06
    ers
    1.00
    lain
    0.97
    ful
    0.97
    cup
    0.92
     bowl
    0.89
    pour
    0.88
    washer
    0.85
    cake
    0.85
    mates
    0.83
    Activations Density 0.037%

    No Known Activations