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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. 1-RES-JB
    11. 7639
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    Explanations

    phrases related to the importance or significance of something

    oai_token-act-pair · gpt-3.5-turbo

    phrases that emphasize importance or significance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Fly
    -0.68
     Ride
    -0.66
     brim
    -0.66
    FU
    -0.65
     ROCK
    -0.65
     endless
    -0.63
    peak
    -0.62
     vomit
    -0.62
     Wonderland
    -0.62
    IDES
    -0.61
    POSITIVE LOGITS
    important
    1.06
     citiz
    0.87
    allery
    0.81
     proble
    0.80
     Important
    0.75
    ratulations
    0.75
    Important
    0.73
     importance
    0.71
    âĶģ
    0.69
    achus
    0.68
    Activations Density 0.002%

    No Known Activations