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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. 7-RES-JB
    11. 14109
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    Explanations

    instances where an action or event is happening or has occurred before a certain point in time

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     affinity
    -0.77
     contradiction
    -0.76
     contrasts
    -0.70
     Cosponsors
    -0.68
     Monteneg
    -0.68
     differently
    -0.63
     emphasis
    -0.63
     parallels
    -0.62
     slideshow
    -0.62
     opio
    -0.61
    POSITIVE LOGITS
    apses
    0.88
    uberty
    0.87
     arrive
    0.86
    ilater
    0.83
    pection
    0.82
    pleted
    0.79
    pta
    0.78
    apsed
    0.77
     finished
    0.76
    haar
    0.75
    Activations Density 0.217%

    No Known Activations