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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
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    Explanations

    mentions of the programming language Java, particularly versions 8 and 9

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the Java programming language

    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
    uers
    -0.87
    pload
    -0.83
    ablishment
    -0.80
    henko
    -0.77
    kef
    -0.74
    rification
    -0.73
    rons
    -0.71
    uer
    -0.71
    ometown
    -0.70
     proble
    -0.69
    POSITIVE LOGITS
     Java
    0.98
     EE
    0.92
    Script
    0.89
    jar
    0.89
    Java
    0.83
     Beans
    0.80
    SourceFile
    0.80
    Doc
    0.79
     Flask
    0.75
     Clojure
    0.74
    Activations Density 0.009%

    No Known Activations