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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. 20536
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    Explanations

    variations of the word "mere"

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "mere" indicating a trivial or minimal amount

    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
    lain
    -0.68
     largeDownload
    -0.66
     destro
    -0.65
    ocker
    -0.64
    LCS
    -0.63
     extensively
    -0.62
    azel
    -0.61
    ippers
    -0.60
     sacrific
    -0.59
     Lawyers
    -0.59
    POSITIVE LOGITS
     mortals
    1.10
    tons
    0.87
     handful
    0.81
    ton
    0.78
    ifiable
    0.77
     guiActiveUn
    0.77
     coincidence
    0.74
     mortal
    0.74
     metres
    0.73
     token
    0.69
    Activations Density 0.014%

    No Known Activations