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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. 10-RES-JB
    6. 2360
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    Explanations

    personal names

    oai_token-act-pair · gpt-3.5-turbo

    references to specific individuals or names associated with notable events or stories

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ï¸ı
    -0.95
     Skydragon
    -0.68
    REF
    -0.65
    DragonMagazine
    -0.60
    perse
    -0.57
     heaven
    -0.56
    ECTION
    -0.56
     anesthesia
    -0.55
     penetrating
    -0.55
     [];
    -0.55
    POSITIVE LOGITS
    hof
    0.85
    scale
    0.75
    eeks
    0.75
    asin
    0.72
    anyahu
    0.69
    gio
    0.68
    inki
    0.68
     cul
    0.67
    anchester
    0.67
    ipal
    0.66
    Activations Density 0.070%

    No Known Activations