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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. 5-RES-JB
    6. 24399
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    Explanations

    programming-related terms, particularly focusing on characters and string manipulations

    oai_token-act-pair · gpt-3.5-turbo

    elements related to programming and syntax

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    HCR
    -0.84
    ãĢı
    -0.77
    ndra
    -0.75
     detrim
    -0.73
    asio
    -0.73
    Monitor
    -0.72
    Rah
    -0.71
    hement
    -0.70
    DEM
    -0.69
     Valkyrie
    -0.68
    POSITIVE LOGITS
     formatting
    1.08
     text
    1.06
     comma
    1.06
     delim
    1.04
     syntax
    0.99
     alphabet
    0.97
     strings
    0.97
     parentheses
    0.90
    acters
    0.89
     parsing
    0.89
    Activations Density 0.223%

    No Known Activations