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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. 16276
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    Explanations

    terms related to data analysis and technical processes

    oai_token-act-pair · gpt-3.5-turbo

    parameters and performance metrics related to systems or functions

    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
     brakes
    -0.62
     Israelis
    -0.56
    atism
    -0.55
     Yorkers
    -0.54
    âĢİ
    -0.54
     Poles
    -0.52
     Quote
    -0.51
     elusive
    -0.49
     nipples
    -0.49
    Americans
    -0.48
    POSITIVE LOGITS
     vicinity
    1.10
     context
    0.99
     attic
    0.88
     contexts
    0.84
     drawer
    0.83
     folder
    0.80
     realm
    0.80
     confines
    0.80
    ilated
    0.80
     room
    0.80
    Activations Density 0.853%

    No Known Activations