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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. 17949
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    Explanations

    text related to online searches and information retrieval

    oai_token-act-pair · gpt-3.5-turbo

    instances of searching or inquiry processes

    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
     mitigating
    -0.70
     rehearsal
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     suspensions
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     Cere
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     Principle
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     ÎĶ
    -0.64
     toug
    -0.64
     dynamics
    -0.64
     honorary
    -0.64
     halftime
    -0.63
    POSITIVE LOGITS
     search
    1.45
    search
    1.43
     searching
    1.43
     searched
    1.42
     searches
    1.39
     locate
    1.37
     Search
    1.35
     locating
    1.25
    earchers
    1.24
    Search
    1.22
    Activations Density 0.644%

    No Known Activations