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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 9-RES-JB
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    Explanations

    references to the character "Alice" in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    the name "Alice" mentioned in various contexts

    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
    Not in Any Lists

    No Comments

    Negative Logits
    enegger
    -0.90
    ework
    -0.77
    restling
    -0.72
    soDeliveryDate
    -0.71
    eling
    -0.71
    aments
    -0.71
    ODUCT
    -0.71
    orship
    -0.69
    rontal
    -0.69
    eful
    -0.67
    POSITIVE LOGITS
     Wonderland
    0.85
     Springs
    0.83
     Cooper
    0.81
     Walton
    0.76
    que
    0.73
    querade
    0.71
    Alice
    0.71
    udi
    0.70
    uria
    0.69
     Bailey
    0.68
    Activations Density 0.040%

    No Known Activations