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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. 3-RES-JB
    11. 4851
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    INDEX
    Explanations

    proper nouns or technical terms related to electrical power or consumption

    oai_token-act-pair · gpt-3.5-turbo

    references to power measurements, specifically watts and joules

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     parole
    -0.69
     Phantom
    -0.69
     subsistence
    -0.64
     Camb
    -0.63
    ournal
    -0.63
     Cambod
    -0.62
     probation
    -0.62
     shadow
    -0.62
     methyl
    -0.61
    Ú
    -0.59
    POSITIVE LOGITS
    aday
    1.09
    atts
    1.01
    enberg
    0.99
    agers
    0.98
    ington
    0.93
    age
    0.93
     Watt
    0.91
    abit
    0.88
    ishers
    0.87
    ages
    0.87
    Activations Density 0.005%

    No Known Activations