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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. 12302
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    INDEX
    Explanations

    mathematical operations and numerical expressions

    oai_token-act-pair · gpt-3.5-turbo

    references to numerical values or ratings indicating positivity or negativity

    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
     resize
    -0.66
     packaged
    -0.64
     organized
    -0.64
    assetsadobe
    -0.63
     Carbuncle
    -0.63
     organ
    -0.62
     affirmative
    -0.62
     priority
    -0.62
     Moments
    -0.61
     conflic
    -0.60
    POSITIVE LOGITS
    3
    1.35
    2
    1.32
    0
    1.32
    1
    1.30
    /-
    1.28
    4
    1.26
    5
    1.25
    20
    1.23
    10
    1.23
    12
    1.22
    Activations Density 0.033%

    No Known Activations