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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. 6-RES-JB
    11. 514
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    Explanations

    Cyrillic characters

    oai_token-act-pair · gpt-3.5-turbo

    symbols and special characters in a text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     manif
    -0.83
    enegger
    -0.81
    ktop
    -0.80
    bourg
    -0.77
     sensations
    -0.73
     specificity
    -0.73
    raints
    -0.71
     Collider
    -0.69
    hower
    -0.68
     subsequ
    -0.68
    POSITIVE LOGITS
    ÑĢ
    1.15
    е
    1.04
    Ñĥ
    1.04
    а
    1.03
    ĭ
    1.01
    оÐ
    1.01
    ļ
    1.00
    Ø
    0.98
    ãĥ¼ãĥ
    0.98
    ĺ
    0.97
    Activations Density 0.032%

    No Known Activations