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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. 21350
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    oai_token-act-pair · gpt-3.5-turbo

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    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
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    Negative Logits
     marrow
    -0.72
     Sieg
    -0.61
    WOOD
    -0.60
     trail
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     rooting
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    ACTED
    -0.60
     fertility
    -0.59
     benefic
    -0.58
     mail
    -0.58
     purse
    -0.58
    POSITIVE LOGITS
    ão
    1.30
    ĩ
    0.98
    ã
    0.95
    İ
    0.94
    arta
    0.93
    onne
    0.93
    ç
    0.90
    uration
    0.88
    osph
    0.88
    ¬
    0.87
    Activations Density 0.011%

    No Known Activations