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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. 5606
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    Explanations

    references to specific movie titles and characters

    oai_token-act-pair · gpt-3.5-turbo

    references to the "Harry Potter" series and related media

    oai_token-act-pair · gpt-4o-miniTriggered 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
    Not in Any Lists

    No Comments

    Negative Logits
    hower
    -0.89
    baugh
    -0.79
     opin
    -0.78
    heit
    -0.78
    rency
    -0.74
    geist
    -0.74
     horizont
    -0.73
    gart
    -0.72
    ample
    -0.71
     competitor
    -0.70
    POSITIVE LOGITS
     Masquerade
    0.97
     Magical
    0.94
     Monstrous
    0.91
     Animated
    0.90
     Mystery
    0.90
     Mysterious
    0.86
     Mask
    0.86
     Wizard
    0.85
     Illustrated
    0.84
     Sorcerer
    0.84
    Activations Density 0.127%

    No Known Activations