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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. 5720
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    sections of text that indicate a change in topic or narrative

    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
     braces
    -0.61
     sticking
    -0.59
     Rebellion
    -0.58
     Wrestling
    -0.58
     speculation
    -0.58
    Spoiler
    -0.57
     decaying
    -0.56
     Clover
    -0.56
    Runner
    -0.56
     Flavoring
    -0.55
    POSITIVE LOGITS
    Ã
    0.99
    ó
    0.97
    Ãł
    0.97
    onde
    0.96
    ör
    0.95
    ér
    0.95
    é
    0.94
    ön
    0.91
    ü
    0.90
    oute
    0.90
    Activations Density 0.125%

    No Known Activations