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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. 6-RES-JB
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    Explanations

    emphasized words or phrases

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "emphasis" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    wagen
    -0.77
     Skydragon
    -0.77
    tre
    -0.75
    mberg
    -0.71
    Nazis
    -0.71
    marine
    -0.70
    nect
    -0.69
    izons
    -0.68
    Haunted
    -0.66
    met
    -0.62
    POSITIVE LOGITS
     emphasis
    1.01
    phasis
    0.99
    hovah
    0.84
    uality
    0.74
    baugh
    0.73
    terday
    0.73
     concess
    0.72
    iple
    0.71
    iveness
    0.70
    english
    0.70
    Activations Density 0.031%

    No Known Activations