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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. 6-RES-JB
    6. 5809
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    Explanations

    phrases related to quick and agile movement or dealing with things rapidly

    oai_token-act-pair · gpt-3.5-turbo

    words associated with actions of moving, sorting, or managing items

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    USE
    -0.89
    ãĥīãĥ©ãĤ´ãĥ³
    -0.73
    terday
    -0.73
    STD
    -0.69
    ãĥīãĥ©
    -0.68
    ãĤ´ãĥ³
    -0.67
    meal
    -0.64
     Defenders
    -0.63
     Flight
    -0.63
    WARE
    -0.62
    POSITIVE LOGITS
    lers
    1.36
    ling
    1.35
    les
    1.35
    led
    1.32
    ler
    1.16
    lins
    1.11
    lin
    1.10
    ernaut
    1.08
    ety
    1.06
    bled
    1.04
    Activations Density 0.056%

    No Known Activations