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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 5256
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    INDEX
    Explanations

    mentions of military ranks and units, specifically brigades

    oai_token-act-pair · gpt-3.5-turbo

    references to military ranks and units

    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
    ographed
    -0.69
    Tax
    -0.68
     Helsinki
    -0.67
    eways
    -0.67
     Lamar
    -0.62
     Gork
    -0.62
    kj
    -0.61
     Ceres
    -0.60
    eking
    -0.59
    onomy
    -0.59
    POSITIVE LOGITS
    adier
    1.21
    itte
    1.08
    adian
    0.98
    ments
    0.96
     brig
    0.94
    ading
    0.92
    inally
    0.90
    gae
    0.89
    antine
    0.88
    ModLoader
    0.87
    Activations Density 0.051%

    No Known Activations