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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. 3893
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    Explanations

    terms related to measurements or sizes, particularly focusing on the prefix "min-" and numbers

    oai_token-act-pair · gpt-3.5-turbo

    words related to measurements and scales

    oai_token-act-pair · gpt-4o-miniTriggered 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
    Not in Any Lists

    No Comments

    Negative Logits
     Danger
    -0.67
     Dreams
    -0.65
    Ranked
    -0.61
     Compass
    -0.61
     reforming
    -0.60
    eering
    -0.60
    ãĤ©
    -0.57
     improving
    -0.57
     Directorate
    -0.56
     Freedom
    -0.56
    POSITIVE LOGITS
    nesota
    1.38
    otaur
    1.37
    iatures
    1.34
    neapolis
    1.19
    utes
    1.18
    istered
    1.17
    ivan
    1.05
    usc
    1.03
    istration
    1.03
    ibus
    1.03
    Activations Density 0.018%

    No Known Activations