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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. 9-RES-JB
    6. 20037
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    Explanations

    words related to fuel or energy sources

    oai_token-act-pair · gpt-3.5-turbo

    terms related to fuel and fuel efficiency

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ettings
    -0.86
    iannopoulos
    -0.76
    ihad
    -0.73
    女
    -0.73
    onyms
    -0.71
    ournal
    -0.71
    orld
    -0.69
     Bei
    -0.64
     describ
    -0.64
     Tale
    -0.64
    POSITIVE LOGITS
     combustion
    0.97
     rods
    0.94
     tanker
    0.90
     depot
    0.88
     refuel
    0.86
     consumption
    0.86
     supply
    0.86
     shortages
    0.83
    less
    0.82
     additive
    0.81
    Activations Density 0.040%

    No Known Activations