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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. 5304
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    INDEX
    Explanations

    names of people or entities in the context of news articles

    oai_token-act-pair · gpt-3.5-turbo

    instances of the article "a"

    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
    osponsors
    -0.74
    utical
    -0.73
    Evil
    -0.72
     è£ıè
    -0.72
    Apply
    -0.70
    Ingredients
    -0.70
    iments
    -0.69
    Contents
    -0.69
    hett
    -0.68
    tics
    -0.67
    POSITIVE LOGITS
     spate
    1.28
     slew
    1.11
     flurry
    1.08
     scathing
    1.04
     complaint
    1.02
     botched
    1.01
     string
    1.01
     rash
    1.00
     series
    0.99
     dispute
    0.97
    Activations Density 0.167%

    No Known Activations