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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. 3-RES-JB
    11. 4353
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    Explanations

    proper nouns, specifically names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names of people

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĥ´ãĤ¡
    -0.77
    FUL
    -0.72
     geometry
    -0.67
     vested
    -0.66
     prevailing
    -0.64
     flush
    -0.62
    ãĤ·ãĥ£
    -0.62
    phrine
    -0.61
     dysph
    -0.61
     digitally
    -0.61
    POSITIVE LOGITS
    nih
    1.40
     Moy
    0.99
    rats
    0.92
    sters
    0.90
    lio
    0.90
    stad
    0.87
    owitz
    0.87
    nam
    0.86
    esy
    0.85
    sta
    0.85
    Activations Density 0.009%

    No Known Activations