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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 4-RES-JB
    11. 1612
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    words related to automotive industry or vehicles

    oai_token-act-pair · gpt-3.5-turbo

    terms related to the automotive industry

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     villagers
    -0.69
     Powell
    -0.66
     Salmon
    -0.66
    ockets
    -0.64
     Occupy
    -0.64
    tle
    -0.64
     spores
    -0.64
     Kov
    -0.63
     Hulu
    -0.62
     Debor
    -0.62
    POSITIVE LOGITS
    Benz
    1.01
     dealership
    0.98
    illac
    0.96
    obile
    0.93
    otive
    0.91
     motorcycles
    0.88
     racing
    0.86
     manufacturer
    0.83
    wagen
    0.82
     enthusiast
    0.82
    Activations Density 0.107%

    No Known Activations