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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. 3-RES-JB
    11. 17601
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    Explanations

    occurrences of the word "during" alongside phrases related to public figures or events

    oai_token-act-pair · gpt-3.5-turbo

    the word "during" in the context of events or activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    NRS
    -0.83
    Feel
    -0.77
    DIV
    -0.74
    ophe
    -0.73
    ledged
    -0.72
    eri
    -0.70
    onica
    -0.70
    hole
    -0.70
    drivers
    -0.69
    tools
    -0.69
    POSITIVE LOGITS
     wartime
    0.90
     periods
    0.87
     emergencies
    0.83
     renovations
    0.81
     adolescence
    0.77
     halftime
    0.76
     WWII
    0.75
     questioning
    0.75
     concess
    0.73
     ceremonies
    0.72
    Activations Density 0.050%

    No Known Activations