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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. 9-RES-JB
    11. 23245
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    INDEX
    Explanations

    proper nouns related to people or organizations

    oai_token-act-pair · gpt-3.5-turbo

    names of people and characters

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Archae
    -0.87
     acron
    -0.77
     Uni
    -0.74
     photoc
    -0.71
     Pixie
    -0.70
     Operation
    -0.69
     acknow
    -0.69
     PBS
    -0.68
     Computing
    -0.68
     Princ
    -0.68
    POSITIVE LOGITS
    irez
    1.01
    beck
    0.95
    oval
    0.95
    chuk
    0.94
    leck
    0.94
    gewater
    0.94
    essel
    0.94
    avez
    0.93
    inson
    0.93
    alez
    0.92
    Activations Density 0.193%

    No Known Activations