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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. 6585
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    Explanations

    proper nouns, particularly names

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the name "Mc" followed by various letters or phrases

    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
    ãĥ¼ãĥĨ
    -0.77
     Gemini
    -0.75
    DragonMagazine
    -0.71
    âĵĺ
    -0.68
     Uriel
    -0.68
     paranormal
    -0.67
     Magical
    -0.67
     Guilty
    -0.66
    éĹĺ
    -0.66
    ebted
    -0.66
    POSITIVE LOGITS
    intosh
    1.32
    Afee
    1.26
    donald
    1.12
    Leod
    1.02
    Lean
    1.00
    arthy
    0.90
    rob
    0.87
    burn
    0.87
    Connell
    0.87
    athy
    0.84
    Activations Density 0.003%

    No Known Activations