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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. 7-RES-JB
    11. 11565
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    Explanations

    proper nouns related to organizations or individuals

    oai_token-act-pair · gpt-3.5-turbo

    references to specific individuals and organizations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ensional
    -0.70
     Feast
    -0.69
     latch
    -0.67
    ovych
    -0.66
    Picture
    -0.64
    etsk
    -0.63
    lift
    -0.63
    hoff
    -0.63
    otiation
    -0.62
    taker
    -0.61
    POSITIVE LOGITS
    ulhu
    0.97
    emporary
    0.77
    ãĤ¼ãĤ¦ãĤ¹
    0.72
    MX
    0.68
     coli
    0.68
    DOC
    0.67
    section
    0.67
    ortium
    0.66
    nect
    0.65
    Psy
    0.64
    Activations Density 0.096%

    No Known Activations