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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. 2-RES-JB
    6. 18059
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    INDEX
    Explanations

    percentages or portions in text that are related to numbers

    oai_token-act-pair · gpt-3.5-turbo

    references to percentages

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    chn
    -0.71
    HCR
    -0.69
    IDES
    -0.68
    pload
    -0.67
    ICO
    -0.67
    Attributes
    -0.65
    gotten
    -0.63
    ãĤ¬
    -0.63
    ITED
    -0.63
     Rav
    -0.62
    POSITIVE LOGITS
    imet
    1.17
    imeter
    0.89
    rowth
    0.86
    oning
    0.84
    lein
    0.76
    eele
    0.76
    ril
    0.75
    enaries
    0.73
    urion
    0.71
    ois
    0.71
    Activations Density 0.015%

    No Known Activations