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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. 22117
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    INDEX
    Explanations

    instances where something is missed or not present

    oai_token-act-pair · gpt-3.5-turbo

    variations of the word "miss."

    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
    vec
    -0.66
    inki
    -0.65
    loo
    -0.63
     Jinping
    -0.62
    oran
    -0.60
    dh
    -0.60
     independently
    -0.59
    iov
    -0.58
    gars
    -0.56
     inferred
    -0.55
    POSITIVE LOGITS
    pelled
    1.31
    peak
    1.20
    pell
    1.19
    pelling
    1.12
    hap
    1.11
    poke
    1.10
     deadlines
    0.99
     opportunities
    0.95
    pent
    0.95
    ouri
    0.87
    Activations Density 0.034%

    No Known Activations