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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. 18846
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    Explanations

    names of sports teams and locations

    oai_token-act-pair · gpt-3.5-turbo

    specific sports event outcomes and notable statistics

    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
    ailable
    -0.55
     versatile
    -0.52
     PAN
    -0.51
    trak
    -0.49
     status
    -0.48
     RIS
    -0.47
     diverse
    -0.47
    resist
    -0.47
    okin
    -0.47
     proactive
    -0.46
    POSITIVE LOGITS
     fame
    0.76
     shortly
    0.70
    Footnote
    0.68
    é¾įå¥ij士
    0.68
    à¼
    0.61
     overlooking
    0.58
    Newsletter
    0.58
     respectively
    0.57
    ãĢĤ
    0.57
     beforehand
    0.57
    Activations Density 0.772%

    No Known Activations