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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. 13270
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    Explanations

    contrasting elements or pairs

    oai_token-act-pair · gpt-3.5-turbo

    references to comparative structures or contrasts

    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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    ets
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    Join
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    IGHTS
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    Engineers
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    ISTORY
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    Products
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     ILCS
    -0.61
    abama
    -0.61
    POSITIVE LOGITS
     involves
    0.81
     requires
    0.77
    ngth
    0.75
     consists
    0.72
     relies
    0.68
     contains
    0.66
     is
    0.66
    ption
    0.65
     consisted
    0.64
     reflects
    0.64
    Activations Density 0.092%

    No Known Activations