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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. 9-RES-JB
    6. 15196
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    Explanations

    dates recorded in the format of month and year

    oai_token-act-pair · gpt-3.5-turbo

    specific months and years

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    soDeliveryDate
    -0.69
    esc
    -0.64
     Swordsman
    -0.63
    zh
    -0.63
    natureconservancy
    -0.62
    ench
    -0.61
    terness
    -0.61
    rh
    -0.61
    yip
    -0.60
     scorp
    -0.59
    POSITIVE LOGITS
    ÙĦ
    0.75
    ARDIS
    0.69
     ($)
    0.67
    ulia
    0.67
     (%)
    0.66
    âĶĢâĶĢâĶĢâĶĢ
    0.65
    liness
    0.65
    sters
    0.61
    teness
    0.59
    achel
    0.59
    Activations Density 0.067%

    No Known Activations