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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. 8485
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    Explanations

    phrases related to intense, in-depth discussions or debates

    oai_token-act-pair · gpt-3.5-turbo

    expressions of ongoing discussions or debates

    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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     Pwr
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    POSITIVE LOGITS
     discussion
    1.21
     discussing
    1.16
     forums
    1.08
     topics
    1.07
     debating
    1.07
     debates
    1.06
     discussions
    1.04
     heated
    1.01
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    1.00
     forum
    0.99
    Activations Density 0.492%

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