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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. 1-RES-JB
    11. 13500
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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    cair
    -0.77
    deen
    -0.77
     condol
    -0.76
    perature
    -0.72
    pled
    -0.71
    vernight
    -0.70
    Export
    -0.69
    quartered
    -0.69
    Merit
    -0.68
    uty
    -0.68
    POSITIVE LOGITS
     misinformation
    1.03
     Gamble
    0.73
     Instr
    0.73
    claimer
    0.72
    yip
    0.72
    ãĥ¼ãĥĨ
    0.71
    #$
    0.69
    ican
    0.69
    ãĥ¼ãĥĨãĤ£
    0.68
    inventoryQuantity
    0.68
    Activations Density 0.030%

    No Known Activations