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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 1-RES-JB
    6. 12711
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    Explanations

    references to explosive materials

    oai_token-act-pair · gpt-3.5-turbo

    terminology related to explosives and explosive materials

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Sea
    -0.77
    early
    -0.72
    SEA
    -0.72
    Son
    -0.72
    DAY
    -0.72
     Presidents
    -0.71
    aird
    -0.71
    erest
    -0.71
     Attention
    -0.70
    come
    -0.70
    POSITIVE LOGITS
     explosives
    1.17
     detonated
    1.10
     deton
    1.06
     barric
    0.94
    abwe
    0.92
     grenades
    0.88
    avorite
    0.88
    querque
    0.85
     disposal
    0.83
     breaching
    0.82
    Activations Density 0.008%

    No Known Activations