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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. 10-RES-JB
    11. 11070
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    Explanations

    mentions or references to the cast of a production

    oai_token-act-pair · gpt-3.5-turbo

    references to the cast of productions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    £ı
    -0.78
    vironment
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     Habit
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    hops
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    ffic
    -0.62
     Arms
    -0.62
    ¬¼
    -0.61
    ashtra
    -0.60
     IST
    -0.59
    Cola
    -0.59
    POSITIVE LOGITS
    aways
    1.49
    members
    1.46
    member
    1.38
    mates
    1.15
    ration
    1.11
    away
    1.04
     members
    1.00
    rated
    0.98
    rating
    0.94
     mates
    0.93
    Activations Density 0.018%

    No Known Activations