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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. 3-RES-JB
    6. 10214
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    Explanations

    terms related to waste and sewage treatment

    oai_token-act-pair · gpt-3.5-turbo

    terms related to wastewater and sewage issues

    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
    ching
    -0.75
    ationally
    -0.70
    ativity
    -0.67
    orian
    -0.67
     Fn
    -0.67
     Goff
    -0.66
    azon
    -0.64
    hematic
    -0.63
     insure
    -0.63
    =-=-=-=-
    -0.63
    POSITIVE LOGITS
     wastewater
    1.05
     sewage
    1.04
     spills
    0.88
     overfl
    0.82
     Treatment
    0.82
    dump
    0.78
     flows
    0.76
     landfill
    0.75
     dumping
    0.73
     waterways
    0.72
    Activations Density 0.009%

    No Known Activations