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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. 0-RES-JB
    11. 23253
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    terms related to loyalty or commitment

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     summar
    -0.64
     Stephan
    -0.61
     documented
    -0.60
     wheel
    -0.60
     headlines
    -0.60
     stret
    -0.60
     Wallace
    -0.60
     marked
    -0.59
     slide
    -0.59
     Welch
    -0.59
    POSITIVE LOGITS
    iance
    4.74
    iances
    3.13
    iant
    2.29
    iants
    1.96
    ience
    1.75
    iate
    1.45
    iency
    1.34
    iation
    1.32
    iences
    1.26
    iated
    1.23
    Activations Density 0.012%

    No Known Activations