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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. 19815
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to specific media or event editions

    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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    Negative Logits
     interf
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     sacrific
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     NEC
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     Palest
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     conduc
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    conservancy
    -0.65
    enegger
    -0.65
     administr
    -0.65
    anwhile
    -0.64
     Ukrain
    -0.64
    POSITIVE LOGITS
    į
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    Ī
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    ¹
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    £
    1.05
    §
    1.04
    º
    1.03
    Activations Density 0.243%

    No Known Activations