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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. 9-RES-JB
    11. 24188
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    INDEX
    Explanations

    proper names containing "Ng" or "Pog"

    oai_token-act-pair · gpt-3.5-turbo

    specific punctuation or formatting elements in the text

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    ãĥĩãĤ£
    -0.77
    aneous
    -0.71
    =-=-=-=-
    -0.70
    ARY
    -0.70
    eric
    -0.69
    ESE
    -0.68
    士
    -0.68
    ife
    -0.64
    姫
    -0.64
    ãĤ´ãĥ³
    -0.63
    POSITIVE LOGITS
    wana
    0.92
    lik
    0.91
    lé
    0.81
    lite
    0.81
    ahn
    0.79
    fit
    0.77
    wick
    0.76
    ilon
    0.76
    anski
    0.75
    lov
    0.75
    Activations Density 0.113%

    No Known Activations