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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. 14580
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    INDEX
    Explanations

    metrics of measurement, specifically relating to size and quantity

    oai_token-act-pair · gpt-3.5-turbo

    measurements and units related to energy production

    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
     Akin
    -0.73
     Leilan
    -0.70
     Cantor
    -0.68
     backstage
    -0.67
     Treasurer
    -0.64
     Purg
    -0.63
     Franch
    -0.61
    WHERE
    -0.61
     omission
    -0.59
     Digest
    -0.59
    POSITIVE LOGITS
    abytes
    1.14
    abyte
    1.06
    awatts
    1.01
    pees
    1.00
    rams
    0.98
    illion
    0.97
    renheit
    0.97
    imet
    0.95
    ousand
    0.89
    pes
    0.87
    Activations Density 0.087%

    No Known Activations