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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. 8-RES-JB
    11. 16956
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    Explanations

    references to seeking or providing information

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate the provision of information

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    aud
    -0.66
    meter
    -0.64
     eaves
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     lifeless
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     peril
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    Ħ¢
    -0.62
    opped
    -0.61
    Marginal
    -0.61
     noses
    -0.61
    inventoryQuantity
    -0.60
    POSITIVE LOGITS
     regarding
    0.95
     about
    0.86
    >>>
    0.81
     ABOUT
    0.80
     REG
    0.78
     pertaining
    0.77
     bout
    0.75
    About
    0.74
     concerning
    0.71
     About
    0.70
    Activations Density 0.075%

    No Known Activations