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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. 6-RES-JB
    11. 13583
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    INDEX
    Explanations

    mentions or comparisons of the metric system

    oai_token-act-pair · gpt-3.5-turbo

    references to metric systems and their measurements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    NetMessage
    -0.98
    creen
    -0.82
    ipeg
    -0.78
    swer
    -0.76
    erves
    -0.75
    overs
    -0.74
    idan
    -0.74
    axter
    -0.70
    choes
    -0.70
    pots
    -0.70
    POSITIVE LOGITS
     ton
    0.91
    ICAN
    0.87
     metric
    0.87
     tonnes
    0.80
     measurement
    0.80
     bearer
    0.75
    rod
    0.75
     tons
    0.74
    ric
    0.73
     converter
    0.72
    Activations Density 0.020%

    No Known Activations