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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. 7490
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    Explanations

    references to the term "Pre" followed by a single character or a 2-letter combination

    oai_token-act-pair · gpt-3.5-turbo

    references to the term "Pre" followed by various contexts or categories

    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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    Negative Logits
    ãĥīãĥ©ãĤ´ãĥ³
    -0.94
    loo
    -0.84
    ãĤ¼ãĤ¦ãĤ¹
    -0.70
     ILCS
    -0.69
    IBLE
    -0.68
    IFT
    -0.66
     Isles
    -0.66
    CHA
    -0.64
    DEV
    -0.64
    ãĥĨãĤ£
    -0.63
    POSITIVE LOGITS
    hend
    1.12
    requisite
    1.04
    requisites
    1.00
    cision
    0.96
    fect
    0.96
    req
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    fecture
    0.92
    jud
    0.86
    zn
    0.85
    hens
    0.85
    Activations Density 0.009%

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