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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. 7-RES-JB
    11. 17889
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    INDEX
    Explanations

    references to technological tools or features

    oai_token-act-pair · gpt-3.5-turbo

    features related to digital tools and user functionalities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    alion
    -0.74
    çīĪ
    -0.63
    Closure
    -0.62
    Sov
    -0.62
    ortium
    -0.59
     Presbyter
    -0.59
     Leilan
    -0.59
    adem
    -0.58
    luaj
    -0.57
     caveat
    -0.56
    POSITIVE LOGITS
     securely
    0.78
     efficiently
    0.74
     interact
    0.72
     safely
    0.71
     effortlessly
    0.68
     seamlessly
    0.67
    aneously
    0.67
     dynamically
    0.67
     vibration
    0.67
     automatically
    0.66
    Activations Density 1.181%

    No Known Activations