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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. 23616
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating large quantities or significant movements

    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
    ueless
    -0.61
     Beir
    -0.55
     terminating
    -0.52
    ONSORED
    -0.50
     helicop
    -0.50
    Otherwise
    -0.49
     terminated
    -0.49
     contrace
    -0.48
     Oval
    -0.48
     dummy
    -0.48
    POSITIVE LOGITS
     understandably
    0.65
    assetsadobe
    0.64
     partName
    0.62
    apache
    0.61
    undrum
    0.59
     alot
    0.59
     confuse
    0.58
     largeDownload
    0.57
     lately
    0.57
    catentry
    0.56
    Activations Density 0.850%

    No Known Activations