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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. 22148
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    Explanations

    measurements expressed in millimeters

    oai_token-act-pair · gpt-3.5-turbo

    references to measurements in millimeters

    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
     Bind
    -0.72
     Kathryn
    -0.63
    Else
    -0.62
     Khe
    -0.62
     yours
    -0.61
     vain
    -0.61
     venerable
    -0.61
     NYPD
    -0.60
     Mubarak
    -0.60
    butt
    -0.59
    POSITIVE LOGITS
    imet
    1.66
    imeters
    1.61
    imeter
    1.56
    enium
    1.54
    ilit
    1.34
    ipl
    1.27
    ennial
    1.20
    stones
    1.11
    isec
    1.10
    iard
    1.09
    Activations Density 0.012%

    No Known Activations