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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. 10332
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    Explanations

    phrases related to specific entities or products, such as names of businesses or characters

    oai_token-act-pair · gpt-3.5-turbo

    specific product names and titles in various contexts

    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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    Negative Logits
     contaminated
    -0.77
     soaked
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     dart
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     displaced
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     stranded
    -0.71
     trough
    -0.70
     contag
    -0.69
    ĸļ
    -0.68
     extraord
    -0.67
     subscribed
    -0.65
    POSITIVE LOGITS
     Syndrome
    1.05
     Disorder
    1.00
     Products
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     Designs
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     Productions
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     Ratings
    0.88
     Objects
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    Activations Density 0.445%

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