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

    the company name "Exxon Mobil" in various contexts, potentially related to news articles or financial reports

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the company Exxon Mobil

    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
    Else
    -0.82
    %%%%
    -0.78
    taboola
    -0.77
    FACE
    -0.77
    REAM
    -0.76
    ork
    -0.74
    egg
    -0.73
    ::::::::
    -0.73
    IRD
    -0.72
    ĻĤ
    -0.72
    POSITIVE LOGITS
     Mobil
    1.07
    Mobil
    1.03
    ization
    0.94
    otive
    0.93
    icity
    0.93
    itri
    0.92
    izational
    0.88
    ized
    0.86
    itud
    0.85
    izing
    0.82
    Activations Density 0.009%

    No Known Activations