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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. 6-RES-JB
    11. 15097
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    Explanations

    descriptions of movie scenes

    oai_token-act-pair · gpt-3.5-turbo

    references to specific scenes in movies or shows

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    thood
    -0.87
    achev
    -0.80
    orem
    -0.80
    dp
    -0.77
    uyomi
    -0.76
    sburgh
    -0.74
    ikarp
    -0.74
     Seym
    -0.73
    icrobial
    -0.72
    gements
    -0.72
    POSITIVE LOGITS
    Dialogue
    0.97
     involving
    0.90
     Scene
    0.86
    Capture
    0.85
     Scenes
    0.85
     scenes
    0.82
    scene
    0.82
     unfolding
    0.75
     depicting
    0.73
     VIDE
    0.70
    Activations Density 0.028%

    No Known Activations