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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. 10-RES-JB
    11. 5233
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    Explanations

    mentions of location names with different spellings or variations

    oai_token-act-pair · gpt-3.5-turbo

    variations of the word "various" across different contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     VIDEOS
    -0.73
     penetration
    -0.62
     Passenger
    -0.62
    naires
    -0.62
    xual
    -0.60
     Crus
    -0.59
     Graduate
    -0.59
     Fundamental
    -0.58
    manship
    -0.57
    hare
    -0.57
    POSITIVE LOGITS
    iety
    1.40
    ietal
    1.36
    ieties
    1.35
    ieg
    1.12
    ious
    1.01
    args
    1.00
    iola
    0.98
    anas
    0.96
    mint
    0.93
    iances
    0.91
    Activations Density 0.031%

    No Known Activations