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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. 9-RES-JB
    11. 18061
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    Explanations

    Italian names

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names of people and locations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    folk
    -0.90
    manship
    -0.86
    meet
    -0.85
    wick
    -0.84
    rill
    -0.84
    lasses
    -0.83
    leigh
    -0.81
    lon
    -0.81
    \\\\\\\\
    -0.77
    rants
    -0.76
    POSITIVE LOGITS
    zzi
    1.35
    Äĩ
    1.07
     Rossi
    1.06
    zzo
    1.05
    otti
    1.00
    ère
    1.00
    ucci
    0.93
    ón
    0.89
     di
    0.86
    BILITY
    0.84
    Activations Density 0.206%

    No Known Activations