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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. 11-RES-JB
    6. 18322
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    INDEX
    Explanations

    terms related to quantitative analysis or physical measurement

    oai_token-act-pair · gpt-3.5-turbo

    mathematical expressions or relationships involving rates and efficiencies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    awks
    -0.70
     Voices
    -0.65
    geries
    -0.65
    smoking
    -0.65
    Jere
    -0.63
     Cyrus
    -0.62
    abad
    -0.61
    Boss
    -0.61
    izoph
    -0.60
    Early
    -0.60
    POSITIVE LOGITS
     multiplied
    1.79
     divided
    1.54
     minus
    1.47
     squared
    1.36
     calculated
    1.36
    /(
    1.22
     normalized
    1.22
     computed
    1.20
     (%
    1.18
     multiplier
    1.13
    Activations Density 0.284%

    No Known Activations