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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. 0-RES-JB
    11. 16590
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    Explanations

    numbers related to percentages

    oai_token-act-pair · gpt-3.5-turbo

    references to the number "ninety" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     direct
    -0.68
     ang
    -0.67
     Series
    -0.64
     INC
    -0.62
     series
    -0.61
     PRESS
    -0.56
     parcel
    -0.56
     Press
    -0.56
     Prol
    -0.56
     recruit
    -0.56
    POSITIVE LOGITS
    ety
    5.17
    eteen
    2.28
    eties
    2.06
    eteenth
    1.54
    etry
    1.24
    esty
    1.15
    ete
    1.09
    eness
    1.06
    ename
    1.02
    eth
    1.00
    Activations Density 0.015%

    No Known Activations