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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. 1-RES-JB
    11. 21537
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    INDEX
    Explanations

    references to the concept of throttling

    oai_token-act-pair · gpt-3.5-turbo

    terms related to throttling or intense competition

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    IFIED
    -0.81
     Hussain
    -0.76
    ifications
    -0.75
     Beir
    -0.72
    HCR
    -0.68
    ifier
    -0.66
    iary
    -0.66
     Municip
    -0.64
    riad
    -0.64
     Charlottesville
    -0.63
    POSITIVE LOGITS
    ttle
    1.42
    thro
    1.08
     Thro
    1.02
    terness
    0.88
     destro
    0.84
    amaru
    0.83
    lease
    0.82
    ldom
    0.81
    ppo
    0.77
    unal
    0.76
    Activations Density 0.005%

    No Known Activations