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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. 3-RES-JB
    11. 7022
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    Explanations

    references to sports terminology, especially related to relegation and promotion

    oai_token-act-pair · gpt-3.5-turbo

    terms related to sports relegation and promotion

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    enegger
    -0.92
    Kin
    -0.88
    ttp
    -0.83
     Instrument
    -0.77
     Ago
    -0.73
     Pose
    -0.69
     Reprodu
    -0.69
    yah
    -0.67
     Refuge
    -0.67
     Instruments
    -0.65
    POSITIVE LOGITS
     relegation
    1.25
     releg
    1.14
     strugg
    1.03
     relegated
    1.03
    interstitial
    0.85
     scrap
    0.75
     mosqu
    0.74
     disadvant
    0.74
    ination
    0.73
    inating
    0.73
    Activations Density 0.014%

    No Known Activations