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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. 8-RES-JB
    11. 14310
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    INDEX
    Explanations

    words related to precision or quality

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "fine" and variations of it

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    ulhu
    -0.77
    jri
    -0.77
    urg
    -0.76
    ilee
    -0.75
    rush
    -0.75
    ocide
    -0.75
    sworth
    -0.75
    omorphic
    -0.72
    raltar
    -0.72
     Kut
    -0.71
    POSITIVE LOGITS
     tuning
    1.09
     Gael
    1.07
     tuned
    0.95
     tune
    0.84
     dining
    0.80
     arts
    0.80
    Fine
    0.78
     fine
    0.78
     Tune
    0.78
     linen
    0.77
    Activations Density 0.029%

    No Known Activations