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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. 16141
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    Explanations

    references to the concept of being "blind" in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "blind" and its variations, often in contexts related to ignorance or oversight

    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
    xit
    -0.85
    cially
    -0.83
    afort
    -0.73
    idian
    -0.71
    andum
    -0.70
    bourg
    -0.69
     Heights
    -0.66
     Sunrise
    -0.65
    CE
    -0.63
     Occupations
    -0.63
    POSITIVE LOGITS
    fold
    1.47
    sided
    1.45
    sight
    1.31
    spot
    1.24
    ingly
    1.23
    side
    1.01
    eyed
    0.99
     alley
    0.95
    sighted
    0.95
     spots
    0.89
    Activations Density 0.054%

    No Known Activations