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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. 11-RES-JB
    11. 3864
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    Explanations

    words related to physical characteristics and features

    oai_token-act-pair · gpt-3.5-turbo

    words and phrases related to health, mortality, and community impacts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    omever
    -0.66
    bal
    -0.65
    nesota
    -0.65
     increments
    -0.64
    levels
    -0.63
    ãĥĥãĥī
    -0.62
    Recomm
    -0.61
    Attempts
    -0.61
    kson
    -0.61
    alia
    -0.60
    POSITIVE LOGITS
     dominate
    1.22
     collide
    1.20
     are
    1.19
     aren
    1.19
     Are
    1.13
     abound
    1.12
     ARE
    1.06
     soar
    1.05
     Were
    1.04
     comprise
    1.02
    Activations Density 0.334%

    No Known Activations