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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. 9-RES-JB
    11. 13964
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    Explanations

    words related to fine details, precision, and quality

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "fine" and related phrases emphasizing quality or precision

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    soDeliveryDate
    -0.79
    leaders
    -0.75
    PsyNetMessage
    -0.75
    osponsors
    -0.74
    etic
    -0.74
    ilee
    -0.72
    jri
    -0.71
    omorphic
    -0.71
    ocide
    -0.70
    ulhu
    -0.70
    POSITIVE LOGITS
     tuning
    1.10
     tuned
    1.04
     Gael
    1.03
     dining
    0.91
     tune
    0.89
     arts
    0.87
     print
    0.83
     Tune
    0.82
     linen
    0.80
     fine
    0.75
    Activations Density 0.042%

    No Known Activations