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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. 3-RES-JB
    6. 10831
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    Explanations

    specific characters or symbols in a text

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of a specific character or symbol used in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    espie
    -0.77
    wagen
    -0.75
     Wilmington
    -0.72
     Hurricanes
    -0.71
    intendent
    -0.70
    EMENT
    -0.67
     guiActiveUnfocused
    -0.67
    terday
    -0.66
     Freddie
    -0.65
     Coliseum
    -0.63
    POSITIVE LOGITS
    ģ
    1.23
    Ĵ
    1.17
    ½
    1.12
    »
    1.06
    ¾
    1.04
    ļ
    1.04
    Ĥ
    1.03
    ı
    1.03
    Į
    1.03
    ¼
    1.01
    Activations Density 0.005%

    No Known Activations