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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. 1-RES-JB
    6. 24331
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    Explanations

    specific mentions of "Mod" followed by a number (e.g. Mod 10) in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to "Mod" as it relates to various systems or entities, likely indicating modifications or models in a specific context

    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
    FORE
    -0.85
    ģĸ
    -0.82
    éĽ
    -0.79
    âĸ¬
    -0.77
     Lauder
    -0.75
    ¬¼
    -0.73
    YA
    -0.72
     Cornell
    -0.72
    holding
    -0.72
     PRESS
    -0.71
    POSITIVE LOGITS
    ules
    1.19
    icum
    1.03
    ifiers
    1.02
    ifications
    0.99
    ding
    0.98
    achev
    0.96
    ifier
    0.96
    ajo
    0.96
    aton
    0.94
    iator
    0.94
    Activations Density 0.008%

    No Known Activations