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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. 11791
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    Explanations

    large numerical values

    oai_token-act-pair · gpt-3.5-turbo

    numerical data or statistics related to sports teams

    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
     gra
    -0.67
    actionDate
    -0.65
    athered
    -0.65
     bonded
    -0.63
    thumbnails
    -0.62
     Cosponsors
    -0.61
     facilit
    -0.60
     vain
    -0.60
     clipboard
    -0.60
     humane
    -0.59
    POSITIVE LOGITS
     respectively
    0.80
    "))
    0.68
     Difference
    0.63
     Trainer
    0.63
    zzle
    0.62
    "}
    0.61
    artney
    0.61
    azz
    0.60
    zzi
    0.60
     attRot
    0.59
    Activations Density 0.294%

    No Known Activations