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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 2-RES-JB
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    Explanations

    mentions of the word "Mercury"

    oai_token-act-pair · gpt-3.5-turbo

    references to the element mercury

    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
    76561
    -0.86
    ESCO
    -0.80
    olkien
    -0.73
    itcher
    -0.70
    doors
    -0.70
    Redditor
    -0.68
    animate
    -0.68
    66666666
    -0.68
    gger
    -0.67
    sbm
    -0.67
    POSITIVE LOGITS
     Mercury
    1.08
     iod
    0.82
     mosqu
    0.76
    Merc
    0.70
     tremend
    0.68
    iership
    0.68
     mercury
    0.66
     Seal
    0.66
     seals
    0.66
    urnal
    0.64
    Activations Density 0.004%

    No Known Activations