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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. 3-RES-JB
    11. 23992
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    Explanations

    the word "Tes" followed by numbers, probably referring to Tesco

    oai_token-act-pair · gpt-3.5-turbo

    references to specific organizations and events, particularly in sports and scientific 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
    nesota
    -0.82
    FTWARE
    -0.74
    itect
    -0.71
    tenance
    -0.69
     Marketable
    -0.68
     actionGroup
    -0.67
    sylvania
    -0.67
    EStream
    -0.66
     Codec
    -0.65
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    -0.65
    POSITIVE LOGITS
    opic
    0.87
    ples
    0.85
    urious
    0.83
    ramids
    0.82
    pees
    0.79
    rael
    0.77
    eni
    0.77
    ör
    0.73
    iquette
    0.73
    pled
    0.73
    Activations Density 0.028%

    No Known Activations