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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. 1-RES-JB
    11. 7061
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    INDEX
    Explanations

    mentions of colleagues

    oai_token-act-pair · gpt-3.5-turbo

    references to colleagues or teamwork-related terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    itters
    -0.94
    aida
    -0.84
    enses
    -0.83
    olia
    -0.80
    ords
    -0.80
    undai
    -0.79
    avers
    -0.78
    unda
    -0.78
    tarians
    -0.77
    etting
    -0.76
    POSITIVE LOGITS
     colleague
    1.07
     comrade
    0.86
     cowork
    0.78
     classmate
    0.78
     laureate
    0.77
    nered
    0.75
     Ally
    0.73
     Laure
    0.71
     partner
    0.70
     Arthur
    0.69
    Activations Density 0.011%

    No Known Activations