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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. 6240
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    oai_token-act-pair · gpt-3.5-turbo

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    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
     lull
    -0.70
     eaves
    -0.69
     upon
    -0.68
     funnel
    -0.67
     inund
    -0.67
     resur
    -0.66
     unexpectedly
    -0.66
     ripe
    -0.65
     assured
    -0.65
     tear
    -0.65
    POSITIVE LOGITS
    formerly
    1.33
    includes
    1.23
    excluding
    1.22
    aka
    1.21
    via
    1.19
    optional
    1.16
    including
    1.16
    click
    1.15
    feat
    1.11
    1996
    1.08
    Activations Density 0.128%

    No Known Activations