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

    references to environmental spills

    oai_token-act-pair · gpt-3.5-turbo

    mentions of environmental disasters, specifically oil spills

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    izons
    -0.85
    */(
    -0.78
    tarian
    -0.76
    uliffe
    -0.75
    etheless
    -0.74
    HCR
    -0.72
    tarians
    -0.72
    ojure
    -0.70
    undai
    -0.70
    OTO
    -0.70
    POSITIVE LOGITS
     spill
    1.04
     spills
    1.02
     spilled
    0.89
     spilling
    0.86
    overs
    0.85
    flower
    0.83
    sheets
    0.79
    weed
    0.72
    outs
    0.71
     ashore
    0.71
    Activations Density 0.008%

    No Known Activations