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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. 4894
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    Explanations

    phrases indicating strong desire or enthusiasm

    oai_token-act-pair · gpt-3.5-turbo
    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
    Not in Any Lists

    No Comments

    Negative Logits
    anchester
    -0.75
    soDeliveryDate
    -0.74
    llan
    -0.70
    erva
    -0.69
    DragonMagazine
    -0.67
    etooth
    -0.66
    aired
    -0.66
    éĥ
    -0.64
    calling
    -0.61
    anni
    -0.60
    POSITIVE LOGITS
     innovate
    1.09
     reproduce
    1.08
     explore
    1.05
     pursue
    1.03
     emulate
    1.02
     maximize
    1.00
     learn
    1.00
     capitalize
    0.99
     imitate
    0.98
     succeed
    0.98
    Activations Density 0.168%

    No Known Activations