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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. 7-RES-JB
    6. 4336
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    INDEX
    Explanations

    names of locations or organizations

    oai_token-act-pair · gpt-3.5-turbo

    common nouns or proper nouns associated with names or entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    glers
    -0.59
    perty
    -0.58
     utmost
    -0.57
    drivers
    -0.57
    steamapps
    -0.56
     tooth
    -0.55
     mutants
    -0.54
    stroke
    -0.53
     highs
    -0.53
     takeoff
    -0.53
    POSITIVE LOGITS
    usa
    0.76
    oola
    0.76
    qua
    0.69
    èĢħ
    0.68
    nikov
    0.67
     Pradesh
    0.67
    DragonMagazine
    0.65
    yne
    0.64
    IRC
    0.64
    à¼
    0.64
    Activations Density 0.269%

    No Known Activations