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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. 2520
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    Explanations

    emotionally charged adjectives

    oai_token-act-pair · gpt-3.5-turbo
    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
     cycle
    -0.67
     GEAR
    -0.63
     waivers
    -0.62
    Origin
    -0.61
     minors
    -0.61
     RI
    -0.59
     Korea
    -0.58
     ok
    -0.57
     ALSO
    -0.57
     damages
    -0.56
    POSITIVE LOGITS
    acious
    1.10
    ignant
    0.97
    entious
    0.96
    arious
    0.93
    uous
    0.91
    romising
    0.91
    oried
    0.89
    ious
    0.89
    worldly
    0.87
    ithering
    0.87
    Activations Density 0.268%

    No Known Activations