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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. 2-RES-JB
    11. 6432
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    Explanations

    past tense verbs, particularly the simple past tense

    oai_token-act-pair · gpt-3.5-turbo
    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
    idal
    -0.78
    arnaev
    -0.77
     compr
    -0.77
    ordial
    -0.74
    ormal
    -0.68
    ãĥ¼ãĥĨãĤ£
    -0.68
    ornia
    -0.68
    atto
    -0.68
    anooga
    -0.67
    ãĤ©
    -0.67
    POSITIVE LOGITS
    Lot
    0.69
    bol
    0.68
    fect
    0.67
    İ
    0.66
    ÃĤ
    0.66
    vo
    0.65
    Scot
    0.63
    words
    0.63
    0.63
    QUI
    0.63
    Activations Density 0.000%

    No Known Activations