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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. 9549
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    INDEX
    Explanations

    mentions of the name "Hib" or phrases related to high levels of a specific substance

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, specifically names related to a certain studio or production

    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
     Normandy
    -0.77
     turbulence
    -0.74
     Spice
    -0.73
     merge
    -0.73
     Primordial
    -0.73
     Trooper
    -0.71
     Gibbs
    -0.70
     Metatron
    -0.68
     avalanche
    -0.68
     Apostles
    -0.66
    POSITIVE LOGITS
    itor
    1.27
    itors
    1.15
    iting
    0.96
    its
    0.95
    ajo
    0.95
    iencies
    0.93
    hib
    0.91
    oresc
    0.90
    bing
    0.90
    ensing
    0.88
    Activations Density 0.015%

    No Known Activations