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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 8-RES-JB
    6. 18203
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    Explanations

    specific words and phrases related to the term "Hind", both with high and lower activations

    oai_token-act-pair · gpt-3.5-turbo

    references to the term "Hind" and related variants

    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
    ptions
    -0.68
     posit
    -0.66
    itri
    -0.66
    TION
    -0.64
    lly
    -0.62
    byss
    -0.61
    terday
    -0.61
    olves
    -0.61
    zai
    -0.60
    ãģĦ
    -0.60
    POSITIVE LOGITS
    erer
    1.03
    rums
    0.99
    erers
    0.96
    icator
    0.94
    icated
    0.94
    elta
    0.91
    icates
    0.87
    ication
    0.87
    rift
    0.87
    aniel
    0.86
    Activations Density 0.081%

    No Known Activations