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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. 1387
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    French words or names

    oai_token-act-pair · gpt-3.5-turbo

    words related to a specific type of wine

    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
     OP
    -0.74
     ORIG
    -0.69
     voices
    -0.68
     positives
    -0.67
     leaders
    -0.63
     misc
    -0.63
     Honda
    -0.62
     evils
    -0.61
     threats
    -0.61
    MAT
    -0.60
    POSITIVE LOGITS
    ée
    4.87
    é
    2.02
    és
    1.95
    ère
    1.59
    è
    1.58
    abeth
    1.49
    Ãī
    1.49
    ê
    1.30
    ét
    1.26
    én
    1.18
    Activations Density 0.007%

    No Known Activations