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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. 15174
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    Explanations

    words related to alphabets and symbols

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of a specific character or symbol

    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
    WARD
    -0.71
     Coliseum
    -0.69
    waves
    -0.69
     commute
    -0.68
    wards
    -0.67
    ITNESS
    -0.66
     rush
    -0.65
     microw
    -0.64
    iflower
    -0.64
     Neural
    -0.64
    POSITIVE LOGITS
    Å
    1.41
    ¼
    1.32
    ½
    1.23
    ı
    1.18
    ĭ
    1.12
    ĵ
    1.12
    ¾
    1.12
    ł
    1.09
    ĥ
    1.09
    »
    1.09
    Activations Density 0.007%

    No Known Activations