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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 term "Nusra" or "Al-Nusra Front"

    oai_token-act-pair · gpt-3.5-turbo

    references to specific militant groups in the context of conflict

    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
     Scotch
    -0.80
    matter
    -0.78
    Ven
    -0.77
     GST
    -0.74
     RIP
    -0.72
    growth
    -0.71
    Scott
    -0.71
    ym
    -0.69
     Hawaiian
    -0.66
     GF
    -0.65
    POSITIVE LOGITS
    usra
    1.17
    Nusra
    1.15
     Palestin
    0.94
    ascus
    0.88
     Front
    0.87
    Syrian
    0.85
     eleph
    0.82
     conflic
    0.81
     Idlib
    0.80
    Sham
    0.80
    Activations Density 0.010%

    No Known Activations