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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. 13889
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    Explanations

    popular brand names, especially related to technology products

    oai_token-act-pair · gpt-3.5-turbo

    brand names of technology products

    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
    taboola
    -0.87
    runs
    -0.79
    positive
    -0.74
    jar
    -0.74
    irements
    -0.73
    agonist
    -0.72
    sectional
    -0.72
    population
    -0.71
     Debor
    -0.70
    upt
    -0.70
    POSITIVE LOGITS
     Precision
    1.17
     Electronics
    0.98
    senal
    0.95
    ®
    0.94
     Predator
    0.90
     Corporation
    0.89
     Instruments
    0.88
     Alps
    0.86
     Labs
    0.86
    Edge
    0.86
    Activations Density 0.243%

    No Known Activations