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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. 11-RES-JB
    6. 16752
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    Explanations

    words related to physical locations and events, particularly with some form of specific identification or description

    oai_token-act-pair · gpt-3.5-turbo

    locations and significant events related to elections or newsworthy occurrences

    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
    20439
    -0.68
    joice
    -0.65
    lihood
    -0.65
    «ĺ
    -0.65
    ©¶æ
    -0.62
    ŃĶ
    -0.61
    ãĥ¡
    -0.60
     metic
    -0.60
    ¿½
    -0.60
    ĪĴ
    -0.59
    POSITIVE LOGITS
     ...
    0.76
     Tol
    0.67
     ........
    0.66
     Pav
    0.63
    agram
    0.62
     ..
    0.61
     involving
    0.60
    ilogy
    0.59
     Barney
    0.58
     Eminem
    0.57
    Activations Density 0.111%

    No Known Activations