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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. 8700
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    Explanations

    references to books or series in a documentary context

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to popular movie franchises and their connections

    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
    orem
    -0.75
     behaviours
    -0.72
    onomous
    -0.71
    xit
    -0.71
     behaviors
    -0.70
    ploy
    -0.70
    ibaba
    -0.69
    MpServer
    -0.65
    SourceFile
    -0.65
     sche
    -0.63
    POSITIVE LOGITS
     chronological
    0.97
     genres
    0.95
     anthology
    0.94
     genre
    0.94
    veyard
    0.88
     pulp
    0.88
    DVD
    0.84
    genre
    0.83
     publishers
    0.81
     Spielberg
    0.81
    Activations Density 0.638%

    No Known Activations