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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. 3-RES-JB
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    Explanations

    the word "Assange" at varying levels of activation

    oai_token-act-pair · gpt-3.5-turbo

    mentions of Julian Assange

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    FU
    -0.84
    PASS
    -0.73
    PATH
    -0.73
    tml
    -0.72
    relation
    -0.69
    reek
    -0.64
    mental
    -0.63
    à¨
    -0.61
    OX
    -0.61
     stub
    -0.60
    POSITIVE LOGITS
     Assange
    1.21
    ovic
    0.94
    ileaks
    0.92
    Leaks
    0.87
    ylum
    0.86
    quist
    0.78
    minster
    0.78
     WikiLeaks
    0.77
    ovich
    0.75
    emouth
    0.74
    Activations Density 0.004%

    No Known Activations