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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. 3-RES-JB
    11. 4617
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    INDEX
    Explanations

    names related to individuals or possibly historical figures

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names of individuals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ansas
    -0.85
    aukee
    -0.79
    cler
    -0.79
    âĸĵ
    -0.79
    omething
    -0.77
    manager
    -0.73
    raq
    -0.73
    rug
    -0.73
    thumbnails
    -0.72
    umbnail
    -0.72
    POSITIVE LOGITS
     Pascal
    1.03
     Paulo
    0.81
     Nath
    0.77
     Lorenzo
    0.76
     Sebastian
    0.75
     GP
    0.69
     Prix
    0.68
     Holden
    0.68
    isations
    0.67
    izations
    0.65
    Activations Density 0.017%

    No Known Activations