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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. 1-RES-JB
    11. 3372
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    Explanations

    positive adjectives related to excellence or high quality

    oai_token-act-pair · gpt-3.5-turbo

    words related to excellence or high quality

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ombie
    -0.88
    uphem
    -0.81
    urers
    -0.80
    raq
    -0.78
    ulhu
    -0.76
    FactoryReloaded
    -0.75
    Fake
    -0.75
    uration
    -0.74
    uyomi
    -0.74
    arettes
    -0.73
    POSITIVE LOGITS
     stellar
    1.32
    stellar
    0.98
     astronomical
    0.80
     endorsements
    0.77
     achievement
    0.74
     Stellar
    0.71
     brill
    0.71
     accol
    0.70
     accomplishments
    0.70
     motiv
    0.69
    Activations Density 0.009%

    No Known Activations