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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. 6-RES-JB
    11. 9790
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    Explanations

    words with the letter 'y' followed by lower activation values compared to 'y' followed by higher activation values

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the letter "y."

    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
     Wonderland
    -0.78
    ãĥ¼ãĥĨãĤ£
    -0.69
     PowerPoint
    -0.66
    IUM
    -0.65
    tenance
    -0.65
    ULAR
    -0.64
    ãĥ´ãĤ¡
    -0.63
     Trilogy
    -0.63
    Oracle
    -0.63
    ÙĴ
    -0.63
    POSITIVE LOGITS
    idd
    1.05
    ahoo
    1.03
    ummy
    1.01
    anked
    0.99
    orkshire
    0.97
    anking
    0.94
    aku
    0.93
    ield
    0.92
    olk
    0.92
    umen
    0.90
    Activations Density 0.025%

    No Known Activations