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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. 2076
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    INDEX
    Explanations

    quantitative ratios such as "seven out of ten."

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating proportions or statistics expressed in fractional terms

    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
     tyr
    -0.86
     arsen
    -0.63
     Yen
    -0.57
     background
    -0.54
     Elements
    -0.54
     Der
    -0.51
    BLE
    -0.51
    ITED
    -0.51
     Bulgar
    -0.50
     Nadu
    -0.50
    POSITIVE LOGITS
    lier
    1.05
    ta
    0.98
    liest
    0.94
    number
    0.92
    fitted
    0.90
    ranked
    0.88
    lander
    0.88
     of
    0.87
    lying
    0.87
    paced
    0.87
    Activations Density 0.023%

    No Known Activations