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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 2-RES-JB
    6. 9351
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    INDEX
    Explanations

    third-person singular pronouns, specifically 'he'

    oai_token-act-pair · gpt-3.5-turbo

    references to male subjects or individuals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Claire
    -0.67
     Girls
    -0.66
     Columb
    -0.66
     Transactions
    -0.64
    anking
    -0.62
     Bunny
    -0.62
     Bearing
    -0.62
     Unlimited
    -0.61
     Engineers
    -0.61
     Leban
    -0.60
    POSITIVE LOGITS
    'd
    1.22
    eded
    1.17
    'll
    1.15
    zbollah
    1.09
     redes
    0.91
    eding
    0.88
     encount
    0.87
    resy
    0.87
    've
    0.85
    aps
    0.83
    Activations Density 0.382%

    No Known Activations