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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. 3-RES-JB
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    Explanations

    adjectives describing excellence or exceptional quality

    oai_token-act-pair · gpt-3.5-turbo

    the word "brilliant" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    VR
    -0.73
    ratom
    -0.71
    Downloadha
    -0.70
    Emb
    -0.69
    ople
    -0.69
    intestinal
    -0.68
    avis
    -0.67
    eper
    -0.67
    Demand
    -0.66
    AUT
    -0.64
    POSITIVE LOGITS
     brilliance
    0.87
     brilliant
    0.83
    ulously
    0.80
     Brilliant
    0.78
    NESS
    0.77
     rainbow
    0.73
     genius
    0.73
    sonian
    0.73
     brill
    0.71
     streak
    0.71
    Activations Density 0.007%

    No Known Activations