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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. 8-RES-JB
    11. 2372
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    INDEX
    Explanations

    mentions of the name "Gleason" or words containing "gle" with high activations

    oai_token-act-pair · gpt-3.5-turbo

    variations of the word "gleeful" or similar words conveying happiness or joy

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    raint
    -0.75
    ENTS
    -0.73
    ractor
    -0.71
    raints
    -0.67
    ilities
    -0.66
    interrupted
    -0.66
    IO
    -0.64
     Fract
    -0.63
    ians
    -0.62
    oulos
    -0.61
    POSITIVE LOGITS
    gging
    1.10
    cks
    1.07
    azy
    1.05
    ppo
    1.01
    avement
    0.99
    ngth
    0.95
    aving
    0.94
    eper
    0.94
    eping
    0.94
    pload
    0.92
    Activations Density 0.055%

    No Known Activations