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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. 4867
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    Explanations

    statements related to technology upgrades and developments

    oai_token-act-pair · gpt-3.5-turbo

    statements of existence or condition

    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
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     IMAGES
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     Influence
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    -0.59
    umes
    -0.59
     sums
    -0.57
     AMA
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     vouchers
    -0.56
    POSITIVE LOGITS
     underway
    1.15
     forthcoming
    1.10
     devised
    1.02
     available
    0.99
     constructed
    0.97
     born
    0.95
     emerging
    0.95
     needed
    0.94
     introduced
    0.92
     formed
    0.91
    Activations Density 0.331%

    No Known Activations