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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. 4-RES-JB
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    Explanations

    mentions of a specific name "Miku" at different levels of closeness

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the name "Mik."

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

    No Comments

    Negative Logits
     Dull
    -0.68
     dividing
    -0.66
     vested
    -0.66
    LOAD
    -0.65
    ×Ļ×
    -0.63
    ODUCT
    -0.63
    âķIJâķIJ
    -0.61
    د
    -0.61
     negotiator
    -0.61
     Sunni
    -0.61
    POSITIVE LOGITS
    kel
    1.03
    oto
    1.00
    lov
    1.00
    achu
    0.97
    uls
    0.95
    luster
    0.92
    ril
    0.92
    ernel
    0.92
    azi
    0.91
    acs
    0.90
    Activations Density 0.009%

    No Known Activations