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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. 2-RES-JB
    11. 1632
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    Explanations

    phrases related to actions or activities

    oai_token-act-pair · gpt-3.5-turbo

    gerunds and present participles related to actions and processes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    imm
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    istration
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    pent
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    è£
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    pron
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    eded
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    76561
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     tre
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    POSITIVE LOGITS
     Thoughts
    0.97
     Gets
    0.92
     Together
    0.92
     Locations
    0.92
     Them
    0.91
     Issues
    0.91
     Matters
    0.90
     Ones
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     Costs
    0.89
     Than
    0.89
    Activations Density 0.093%

    No Known Activations