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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. 6-RES-JB
    11. 10984
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    Explanations

    keywords related to petroleum

    oai_token-act-pair · gpt-3.5-turbo

    references to petroleum and related industries

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Sparrow
    -0.76
    lr
    -0.75
    glers
    -0.75
     Skywalker
    -0.71
     Shed
    -0.70
    OWN
    -0.68
     Bear
    -0.67
     nodd
    -0.67
     Rabbit
    -0.66
    own
    -0.65
    POSITIVE LOGITS
    roleum
    1.22
    utical
    1.06
    anol
    0.88
     refinery
    0.86
     petroleum
    0.84
    aceous
    0.82
     ammon
    0.81
    metics
    0.79
     fumes
    0.78
     gas
    0.75
    Activations Density 0.031%

    No Known Activations