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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. 0-RES-JB
    11. 13002
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    Explanations

    words related to foreign languages and names

    oai_token-act-pair · gpt-3.5-turbo

    words related to the concept of education

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pher
    -0.80
     Kush
    -0.68
     polar
    -0.68
    FY
    -0.66
     masc
    -0.65
    STEM
    -0.65
    Krist
    -0.64
    amic
    -0.63
     Advent
    -0.63
     sized
    -0.62
    POSITIVE LOGITS
    emi
    1.84
    redo
    1.77
    ère
    1.52
     expectancy
    1.45
    ynthesis
    1.37
    owe
    1.35
    uca
    1.26
     Requ
    1.11
    ynt
    1.09
     enjoyment
    1.08
    Activations Density 0.050%

    No Known Activations