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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 3-RES-JB
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    Explanations

    references to oil refineries

    oai_token-act-pair · gpt-3.5-turbo

    references to oil refineries and their operations

    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
     Cthulhu
    -0.77
    atar
    -0.73
     Nordic
    -0.72
     Tibetan
    -0.64
     Humanity
    -0.62
    laus
    -0.62
    adow
    -0.62
     Lives
    -0.62
    apan
    -0.61
    CHO
    -0.61
    POSITIVE LOGITS
    ineries
    1.28
     refinery
    1.09
    inery
    1.03
    rador
    0.98
    ModLoader
    0.79
     refining
    0.77
    agascar
    0.75
    ards
    0.75
     furnace
    0.74
     dumps
    0.72
    Activations Density 0.008%

    No Known Activations