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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. 0-RES-JB
    6. 321
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    Explanations

    terms related to specific measurements or quantities

    oai_token-act-pair · gpt-3.5-turbo

    references to specific numerical quantities or statistics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     QC
    -0.74
     sche
    -0.64
     scam
    -0.59
     spam
    -0.58
    ":"/
    -0.58
     bump
    -0.57
    rad
    -0.57
     boss
    -0.55
    uler
    -0.55
     2016
    -0.54
    POSITIVE LOGITS
     Twenty
    3.14
     Thirty
    2.80
     Forty
    2.63
    Twenty
    2.57
     Fifty
    2.50
    Thirty
    2.30
    ixty
    2.20
     Fif
    2.05
     Sevent
    1.91
     Twelve
    1.71
    Activations Density 0.022%

    No Known Activations