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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 23885
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    Explanations

    terminology related to different forms of warfare, such as nuclear, air, chemical, biological, and information warfare

    oai_token-act-pair · gpt-3.5-turbo

    terms and phrases related to warfare, particularly nuclear and chemical contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    icles
    -0.83
    este
    -0.81
    abet
    -0.76
    icle
    -0.71
    acci
    -0.68
    Label
    -0.67
    ibli
    -0.67
    ocent
    -0.67
    aho
    -0.65
    ident
    -0.65
    POSITIVE LOGITS
    fare
    0.96
    rior
    0.92
    riors
    0.87
     Warfare
    0.84
     waged
    0.76
    eer
    0.75
     warfare
    0.74
    STEM
    0.73
    eers
    0.73
     posture
    0.72
    Activations Density 0.043%

    No Known Activations