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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. 6-RES-JB
    11. 12292
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    INDEX
    Explanations

    percentage values expressed as numbers

    oai_token-act-pair · gpt-3.5-turbo

    terms that classify items based on their rarity or commonness

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    otom
    -0.89
    oci
    -0.88
    apo
    -0.86
    ociation
    -0.79
    odynam
    -0.77
    htar
    -0.76
    mosp
    -0.76
    ij士
    -0.75
    nee
    -0.75
    upt
    -0.74
    POSITIVE LOGITS
     Creature
    0.99
    Uncommon
    0.76
     Weapons
    0.75
     Gems
    0.70
     Seeds
    0.69
     Ventures
    0.69
     crates
    0.69
     Crate
    0.67
     Diseases
    0.67
     Creatures
    0.65
    Activations Density 0.030%

    No Known Activations