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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. 16540
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    Explanations

    regex patterns related to probability distributions and statistical calculations

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to statistical functions and distributions

    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
    Website
    -0.85
     Sang
    -0.84
     whistlebl
    -0.80
    Kid
    -0.78
     Jarvis
    -0.75
    laun
    -0.74
    Upload
    -0.74
    outube
    -0.73
     BlackBerry
    -0.73
    twitch
    -0.73
    POSITIVE LOGITS
     integers
    1.49
     \(
    1.45
     $\
    1.38
     \(\
    1.36
     integer
    1.27
     coefficients
    1.25
     Ï
    1.24
     exponent
    1.22
     theorem
    1.20
     probabilities
    1.18
    Activations Density 0.287%

    No Known Activations