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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. 17854
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    Explanations

    names and terms related to people, places, and events, particularly those related to the Indian subcontinent

    oai_token-act-pair · gpt-3.5-turbo

    references to the name "Har" and its derivatives

    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
    erm
    -0.75
    lect
    -0.69
    htaking
    -0.69
    ered
    -0.65
    ersed
    -0.65
    omers
    -0.64
    uring
    -0.62
    ering
    -0.61
    ery
    -0.61
    sterdam
    -0.59
    POSITIVE LOGITS
    aja
    1.04
    oglu
    0.91
    ths
    0.88
    ãĥĨãĤ£
    0.87
     Tsarnaev
    0.83
    ashtra
    0.83
    azine
    0.81
    ÃŃa
    0.79
    culosis
    0.78
    andom
    0.78
    Activations Density 0.137%

    No Known Activations