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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. 6128
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    oai_token-act-pair · gpt-3.5-turbo

    statistical comparisons and measurements in research data

    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
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    No Comments

    Negative Logits
    iquette
    -0.93
    Vice
    -0.82
    advertising
    -0.81
    kick
    -0.77
    ophobia
    -0.72
    agy
    -0.71
    BILITIES
    -0.70
    Ability
    -0.69
    tainment
    -0.69
     rightfully
    -0.68
    POSITIVE LOGITS
     sample
    1.42
     dataset
    1.40
     samples
    1.27
     sampled
    1.23
     cohort
    1.18
     specimens
    1.12
     specimen
    1.10
     datasets
    1.09
     study
    1.09
     experiment
    1.08
    Activations Density 0.574%

    No Known Activations