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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. 11-RES-JB
    11. 14619
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    Explanations

    individuals and their roles within various contexts or events

    oai_token-act-pair · gpt-3.5-turbo

    the word "was" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ories
    -0.72
    ottage
    -0.69
    ologies
    -0.68
     empires
    -0.65
     pulses
    -0.63
     crave
    -0.62
     beginnings
    -0.62
    inav
    -0.62
    olitics
    -0.61
    ivals
    -0.61
    POSITIVE LOGITS
     briefed
    1.16
     present
    1.11
     interviewed
    1.10
     consulted
    1.05
     contacted
    0.97
     notified
    0.94
     aboard
    0.91
     stationed
    0.91
     injured
    0.90
     involved
    0.89
    Activations Density 0.211%

    No Known Activations