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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. 7-RES-JB
    11. 9807
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    Explanations

    instances of emphasizing extremes or superlatives in a description

    oai_token-act-pair · gpt-3.5-turbo

    phrases that emphasize significant events or phenomena

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    heit
    -0.68
     surpr
    -0.66
     complied
    -0.65
    desktop
    -0.64
    ended
    -0.62
    atto
    -0.61
    inet
    -0.61
    oday
    -0.60
    ensen
    -0.60
     aside
    -0.60
    POSITIVE LOGITS
     continents
    0.70
    few
    0.66
     dozen
    0.61
    userc
    0.61
    dozen
    0.60
    yip
    0.57
     Presidents
    0.57
     continental
    0.56
    arb
    0.54
     few
    0.54
    Activations Density 0.123%

    No Known Activations