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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. 9923
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    Explanations

    the name "Kl" followed by a specific number

    oai_token-act-pair · gpt-3.5-turbo

    references to the name "Klump."

    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
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    Negative Logits
    CLASSIFIED
    -0.67
     Civic
    -0.67
    Interstitial
    -0.65
     Regulatory
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     mant
    -0.63
     Thumbnails
    -0.62
     plural
    -0.62
     squash
    -0.62
     FANTASY
    -0.62
     Chaser
    -0.61
    POSITIVE LOGITS
    assic
    1.36
    itsch
    1.33
    utz
    1.24
    oser
    1.17
    utch
    1.16
    oves
    1.12
    usk
    1.12
    osing
    1.10
    avier
    1.09
    ubb
    1.08
    Activations Density 0.018%

    No Known Activations