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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. 6-RES-JB
    6. 11549
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    INDEX
    Explanations

    proper nouns or names

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names of people

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    incarn
    -0.71
    ãĥ¼ãĥĨãĤ£
    -0.63
    berra
    -0.62
    otype
    -0.60
     Psycho
    -0.60
     Thief
    -0.58
    Bound
    -0.58
    wcs
    -0.58
    ãĤ¤ãĥĪ
    -0.57
    moral
    -0.55
    POSITIVE LOGITS
     explained
    0.90
     concludes
    0.90
     concedes
    0.88
     conceded
    0.87
     elaborated
    0.85
     commented
    0.84
     concede
    0.83
     admits
    0.83
     laughed
    0.81
    enegger
    0.81
    Activations Density 0.301%

    No Known Activations