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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. 4-RES-JB
    11. 15860
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    Explanations

    words related to feeling satisfied or pleased with something

    oai_token-act-pair · gpt-3.5-turbo

    words related to gratitude or appreciation

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

    No Comments

    Negative Logits
     Construct
    -0.73
     Alic
    -0.67
     Formation
    -0.64
     Breaker
    -0.64
     Dwell
    -0.63
     Regulation
    -0.63
     Universities
    -0.62
     Resistance
    -0.60
    uyomi
    -0.60
     Prediction
    -0.59
    POSITIVE LOGITS
    uitous
    1.57
    uit
    1.15
     grat
    1.12
    iously
    1.02
    uity
    1.02
    ified
    0.96
    uously
    0.94
    iless
    0.88
    acies
    0.88
    tesy
    0.88
    Activations Density 0.013%

    No Known Activations