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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. 10-RES-JB
    11. 24473
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    Explanations

    numerical data in a specific format with decimal points and percentages

    oai_token-act-pair · gpt-3.5-turbo

    decimal points and numerical values

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     advis
    -0.68
     sometime
    -0.60
     aside
    -0.60
     carn
    -0.58
     braces
    -0.56
     migrant
    -0.56
     tim
    -0.55
     preventive
    -0.55
     practical
    -0.55
     contribut
    -0.55
    POSITIVE LOGITS
    0
    1.40
    00
    1.39
    5
    1.30
    6666
    1.18
    9
    1.17
    06
    1.17
    3333
    1.17
    75
    1.17
    05
    1.17
    8
    1.17
    Activations Density 0.089%

    No Known Activations