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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 the element "Mercury."

    oai_token-act-pair · gpt-3.5-turbo

    references to "Mercury" in various contexts

    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
    76561
    -0.96
    olkien
    -0.82
    ESCO
    -0.78
    mble
    -0.74
    doors
    -0.71
    ãĥł
    -0.69
    gger
    -0.68
    animate
    -0.68
    yles
    -0.67
    stretched
    -0.67
    POSITIVE LOGITS
     Mercury
    1.07
     iod
    0.82
    Merc
    0.69
     rays
    0.67
     vapor
    0.66
     capsule
    0.66
     mercury
    0.65
     Seal
    0.65
     neb
    0.65
    iership
    0.64
    Activations Density 0.007%

    No Known Activations