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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. 7-RES-JB
    11. 23962
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    Explanations

    numerical values or measurements

    oai_token-act-pair · gpt-3.5-turbo

    references to quantities or large entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    gently
    -0.79
     Jinn
    -0.73
    cers
    -0.64
     Leone
    -0.64
     Kenobi
    -0.63
     Keller
    -0.62
     Elise
    -0.61
    ĪĴ
    -0.60
    Kind
    -0.59
     Assassins
    -0.59
    POSITIVE LOGITS
     (>
    1.14
     conglomer
    0.77
     undertaking
    0.68
    occup
    0.67
    scale
    0.66
    ————
    0.66
    ãĤ¼ãĤ¦ãĤ¹
    0.66
     multinational
    0.65
    SHA
    0.65
    ortment
    0.64
    Activations Density 0.515%

    No Known Activations