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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. 1-RES-JB
    6. 1323
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    INDEX
    Explanations

    words related to serving a specific time period or engagement, such as "stint"

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "stint" and related contexts

    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
    hammad
    -0.79
    ported
    -0.72
     Federation
    -0.67
     Science
    -0.65
    health
    -0.65
    nature
    -0.63
    cussion
    -0.63
    âĹ¼
    -0.62
    classic
    -0.62
    Quality
    -0.61
    POSITIVE LOGITS
     stint
    1.27
    ayson
    0.88
     assignments
    0.85
     experien
    0.83
    nell
    0.82
     destro
    0.79
     abroad
    0.77
    eatures
    0.76
    elman
    0.75
    ings
    0.74
    Activations Density 0.009%

    No Known Activations