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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. 7402
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    INDEX
    Explanations

    phrases indicating hesitation, curiosity, or introspection

    oai_token-act-pair · gpt-3.5-turbo

    phrases expressing uncertainty or difficulty in actions

    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
    illary
    -0.83
    Offline
    -0.76
    ver
    -0.68
    Delivery
    -0.68
    ftime
    -0.67
    ories
    -0.65
    ilater
    -0.62
    liest
    -0.62
    ificial
    -0.61
     Dru
    -0.61
    POSITIVE LOGITS
     grin
    1.06
     laugh
    1.01
     chuckle
    0.99
     wonder
    0.99
     feel
    0.98
     notice
    0.96
     smile
    0.94
     feeling
    0.88
     impressed
    0.87
     noticing
    0.86
    Activations Density 0.070%

    No Known Activations