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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. 2276
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    Explanations

    terms related to demotion or relegation in a competitive context

    oai_token-act-pair · gpt-3.5-turbo

    terms related to relegation in sports contexts

    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
    Not in Any Lists

    No Comments

    Negative Logits
    enegger
    -0.73
    externalActionCode
    -0.67
     Sequence
    -0.65
    yah
    -0.65
    apa
    -0.65
     Daniels
    -0.64
    ttp
    -0.63
     Tree
    -0.62
     Ago
    -0.62
     Strength
    -0.62
    POSITIVE LOGITS
     relegated
    1.28
     relegation
    1.25
     releg
    1.23
     mosqu
    0.89
     strugg
    0.88
     banished
    0.85
     unemploy
    0.84
     tremend
    0.78
     satell
    0.77
    interstitial
    0.75
    Activations Density 0.009%

    No Known Activations