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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. 6-RES-JB
    11. 9907
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    Explanations

    measurements in millimeters

    oai_token-act-pair · gpt-3.5-turbo

    references to measurements in millimeters and related processes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Else
    -0.72
     yours
    -0.66
    KA
    -0.65
     LINK
    -0.65
     Norn
    -0.63
    Reply
    -0.63
     manifest
    -0.62
     Bind
    -0.62
    lde
    -0.61
     compr
    -0.61
    POSITIVE LOGITS
    enium
    1.54
    imet
    1.37
    imeters
    1.22
    imeter
    1.16
    ennial
    1.06
    eries
    1.03
    ipl
    1.03
    inery
    1.02
    stones
    0.96
    mill
    0.96
    Activations Density 0.018%

    No Known Activations