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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. 2-RES-JB
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    Explanations

    the word "militant" at varying levels of intensity

    oai_token-act-pair · gpt-3.5-turbo

    terms related to militant groups and activities

    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
    Not in Any Lists

    No Comments

    Negative Logits
    uries
    -0.93
    cellent
    -0.87
    kj
    -0.80
    eries
    -0.76
    ðĿ
    -0.74
    ocrates
    -0.74
    RIPT
    -0.72
    ends
    -0.71
    ebook
    -0.71
    entry
    -0.69
    POSITIVE LOGITS
     militant
    0.97
     Islamist
    0.92
     jihadist
    0.83
     organisation
    0.83
     insurgency
    0.81
     organisations
    0.77
     insurgent
    0.75
     movements
    0.75
     uprising
    0.75
     factions
    0.73
    Activations Density 0.011%

    No Known Activations