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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. 22740
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    Explanations

    phrases related to dividing or grouping items

    oai_token-act-pair · gpt-3.5-turbo

    words and phrases related to classification or division of concepts and items

    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
    guard
    -0.86
    guards
    -0.80
    den
    -0.71
    osponsors
    -0.70
    lane
    -0.70
    rouse
    -0.69
    twitch
    -0.69
     Passage
    -0.68
    draw
    -0.66
    chat
    -0.65
    POSITIVE LOGITS
     into
    1.11
     together
    0.93
    ogether
    0.85
     geographically
    0.83
     neatly
    0.80
    umbers
    0.80
     INTO
    0.79
    naire
    0.79
     Into
    0.77
     summed
    0.77
    Activations Density 0.187%

    No Known Activations