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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. 3-RES-JB
    11. 8786
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    Explanations

    words related to measurements of size, particularly in millimeters

    oai_token-act-pair · gpt-3.5-turbo

    quantities related to measurement, specifically in millimeters and milligrams

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ĪĴ
    -0.76
    Else
    -0.71
     Lok
    -0.65
    å¦
    -0.64
    lished
    -0.63
    ---------------
    -0.63
    Downloadha
    -0.62
    Reply
    -0.62
    gotten
    -0.62
    REM
    -0.61
    POSITIVE LOGITS
    imet
    1.42
    enium
    1.33
    imeters
    1.26
    imeter
    1.12
     mill
    1.07
    mill
    1.01
    ipl
    0.91
     mills
    0.90
    inery
    0.90
    ilit
    0.89
    Activations Density 0.006%

    No Known Activations