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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. 5-RES-JB
    6. 20347
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    Explanations

    references to a specific fictional or gaming universe, possibly related to a brand

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the word "Or" followed by variations or names associated with it

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    BILITIES
    -0.71
    ptoms
    -0.69
    INESS
    -0.67
    ãĤ¼ãĤ¦ãĤ¹
    -0.65
     VIDEOS
    -0.65
    enment
    -0.62
    uristic
    -0.62
    eers
    -0.60
    FFER
    -0.60
    perature
    -0.60
    POSITIVE LOGITS
    phans
    1.27
    chid
    1.23
    thodox
    1.21
    lando
    1.20
    phan
    1.18
    leans
    1.18
    chard
    1.16
    Else
    1.10
    pheus
    1.10
    acles
    1.06
    Activations Density 0.023%

    No Known Activations