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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. 13998
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    Explanations

    numerical values related to dimensions or measurements

    oai_token-act-pair · gpt-3.5-turbo

    numerical values and associated sequences

    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
     Shutterstock
    -0.78
     Machina
    -0.63
     Bots
    -0.63
     Gupta
    -0.63
     Neuroscience
    -0.62
     Kik
    -0.61
    actly
    -0.58
     Cic
    -0.57
     Gawker
    -0.57
     Muse
    -0.56
    POSITIVE LOGITS
     inch
    1.03
    ÃĹ
    1.00
     gallon
    0.99
    mm
    0.98
    âĢ³
    0.98
    %-
    0.93
    lb
    0.93
     oun
    0.92
    th
    0.91
     ounce
    0.90
    Activations Density 0.160%

    No Known Activations