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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 10-RES-JB
    11. 16086
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    INDEX
    Explanations

    numerical data such as quantities and statistics

    oai_token-act-pair · gpt-3.5-turbo

    numerical data related to sales and statistics

    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
    urat
    -0.67
    avascript
    -0.67
    Appearance
    -0.63
     tension
    -0.60
     suffice
    -0.58
     beware
    -0.58
    prep
    -0.57
     disapp
    -0.56
     afterward
    -0.55
     horm
    -0.55
    POSITIVE LOGITS
     million
    1.59
     Million
    1.41
     billion
    1.36
    million
    1.35
     lakh
    1.31
     thousand
    1.25
     MILL
    1.19
     Billion
    1.19
    billion
    1.18
     crore
    1.15
    Activations Density 0.195%

    No Known Activations