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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. 24110
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    Explanations

    phrases related to significant moments or shifts in a narrative or event

    oai_token-act-pair · gpt-3.5-turbo

    instances of significant moments or turning points in various contexts

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    lying
    -0.85
    apons
    -0.80
    inately
    -0.77
    enhagen
    -0.74
     poisons
    -0.69
    qus
    -0.68
    SpaceEngineers
    -0.66
     resists
    -0.66
    uggest
    -0.65
     bunk
    -0.65
    POSITIVE LOGITS
     moments
    0.97
     moment
    0.97
     Moments
    0.96
     anniversary
    0.95
     milestone
    0.91
     Celebration
    0.91
     occasion
    0.89
     milestones
    0.88
     unforgettable
    0.87
     memorable
    0.87
    Activations Density 0.300%

    No Known Activations