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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. 11-RES-JB
    6. 11014
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    INDEX
    Explanations

    personal responsibility and action-related words and phrases

    oai_token-act-pair · gpt-3.5-turbo

    references to "this" or "that" in a document

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    sts
    -1.01
    ²¾
    -0.93
    anches
    -0.92
    lations
    -0.92
    arest
    -0.92
    pps
    -0.91
    quarters
    -0.91
    idelines
    -0.90
    warts
    -0.88
    cakes
    -0.84
    POSITIVE LOGITS
     sucker
    1.12
     opportunity
    1.00
     stuff
    1.00
     kind
    1.00
     same
    0.99
     thing
    0.99
     guy
    0.98
     information
    0.96
     particular
    0.96
     trope
    0.94
    Activations Density 0.143%

    No Known Activations