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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. 9-RES-JB
    11. 5052
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    Explanations

    statistics related to sports performance

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to statistical averages and performance metrics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iw
    -0.68
    SpaceEngineers
    -0.66
    udeb
    -0.66
    morrow
    -0.65
    DragonMagazine
    -0.64
    embed
    -0.63
     dispute
    -0.61
    iquid
    -0.61
    sale
    -0.61
    dayName
    -0.61
    POSITIVE LOGITS
     victories
    1.07
     wins
    0.87
     fewer
    0.84
     nine
    0.82
     plenty
    0.82
     impressive
    0.81
     seven
    0.81
     eight
    0.81
     104
    0.81
     tons
    0.80
    Activations Density 0.123%

    No Known Activations