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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 0-RES-JB
    11. 5003
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    Explanations

    shortened variations of the word "episodes"

    oai_token-act-pair · gpt-3.5-turbo

    repetitions of the word "peeps."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     fee
    -0.67
     Gardner
    -0.66
     improvement
    -0.65
     mist
    -0.62
     superior
    -0.62
     improved
    -0.61
     condition
    -0.60
     weight
    -0.59
    weight
    -0.59
     specialist
    -0.59
    POSITIVE LOGITS
    eps
    4.66
    ep
    1.62
    eping
    1.62
    eks
    1.04
    oops
    1.04
    pt
    1.03
    eper
    1.02
    iets
    1.00
    ems
    1.00
    cycles
    0.97
    Activations Density 0.012%

    No Known Activations