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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. 11-RES-JB
    11. 24482
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    Explanations

    French words or names

    oai_token-act-pair · gpt-3.5-turbo

    specific names or terms that are significant within a given context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Dul
    -0.98
     Dennis
    -0.95
    804
    -0.94
     Daw
    -0.93
     DRAG
    -0.85
     Woodward
    -0.85
    104
    -0.81
     DAR
    -0.80
     DL
    -0.79
     DW
    -0.78
    POSITIVE LOGITS
    IT
    1.43
    ite
    1.40
    ito
    1.32
    ites
    1.31
    it
    1.30
    itt
    1.30
    ited
    1.29
    itic
    1.28
    itized
    1.24
    itism
    1.23
    Activations Density 0.285%

    No Known Activations