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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. 10-RES-JB
    6. 9680
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    INDEX
    Explanations

    numeric values mixed within text

    oai_token-act-pair · gpt-3.5-turbo

    elements related to technology and data representation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aph
    -0.73
     astroph
    -0.73
     Marks
    -0.71
     diagn
    -0.69
     Flint
    -0.68
     Fay
    -0.68
     Kens
    -0.67
    én
    -0.67
     Beckham
    -0.66
     Zheng
    -0.66
    POSITIVE LOGITS
    2
    1.30
     2
    1.14
    ãĤ°
    1.00
    ²
    0.90
    2200
    0.89
    two
    0.87
    II
    0.86
     II
    0.84
    02
    0.82
     Second
    0.81
    Activations Density 0.266%

    No Known Activations