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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. 10319
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    oai_token-act-pair · gpt-3.5-turbo

    references to web domains, particularly those ending in ".com"

    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
    interstitial
    -0.70
    adobe
    -0.69
    instead
    -0.63
     restrained
    -0.62
    EStream
    -0.57
     retali
    -0.57
     Balt
    -0.56
    anas
    -0.56
    ç
    -0.56
     chilly
    -0.56
    POSITIVE LOGITS
    psons
    0.93
    fortable
    0.91
    biz
    0.83
     Ltd
    0.77
    puters
    0.75
    lishing
    0.75
    pleted
    0.74
    pleting
    0.74
    pletion
    0.73
    puting
    0.73
    Activations Density 0.043%

    No Known Activations