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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. 13537
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    INDEX
    Explanations

    phrases indicating progression or development

    oai_token-act-pair · gpt-3.5-turbo

    statements about the status or condition of different subjects

    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
     Same
    -0.64
    idian
    -0.63
    chel
    -0.62
    ¢
    -0.61
    CN
    -0.60
    idal
    -0.60
    onal
    -0.60
    emption
    -0.59
    ordinary
    -0.59
     Offense
    -0.58
    POSITIVE LOGITS
     itself
    0.77
     advertised
    0.72
     housed
    0.71
    yrinth
    0.70
     reboot
    0.69
     divided
    0.69
     intended
    0.68
     formally
    0.67
     operated
    0.66
     officially
    0.66
    Activations Density 0.545%

    No Known Activations