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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. 3-RES-JB
    6. 22159
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    Explanations

    references to motorsports companies

    oai_token-act-pair · gpt-3.5-turbo

    mentions of automotive companies, specifically related to "Motors."

    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
    lihood
    -0.79
     Kafka
    -0.72
     Liang
    -0.69
     Bern
    -0.69
     Defenders
    -0.68
    isson
    -0.68
    ylum
    -0.67
     Castro
    -0.67
     Cullen
    -0.65
    LY
    -0.64
    POSITIVE LOGITS
    wagen
    0.92
    puter
    0.92
    otive
    0.91
    cycle
    0.87
    obiles
    0.85
    negie
    0.85
    itialized
    0.83
    oline
    0.80
    ports
    0.78
    ageddon
    0.77
    Activations Density 0.009%

    No Known Activations