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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. 21645
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    INDEX
    Explanations

    people or entities being quoted or reported on in a text

    oai_token-act-pair · gpt-3.5-turbo

    reported speech or statements made by individuals

    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
    isol
    -0.77
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    -0.70
    mite
    -0.70
    ãĤ¦ãĤ¹
    -0.70
    pled
    -0.69
    marine
    -0.69
    yip
    -0.67
    adesh
    -0.66
    usterity
    -0.65
    Contents
    -0.65
    POSITIVE LOGITS
     HuffPost
    1.26
     BuzzFeed
    1.17
     VICE
    1.14
     reporters
    1.10
     Newsweek
    1.09
     Quartz
    1.05
     me
    1.04
     CNN
    1.03
     us
    1.00
     POLITICO
    0.99
    Activations Density 0.097%

    No Known Activations