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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. 2888
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    symbols or characters in the text

    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
    enegger
    -0.90
    raints
    -0.85
    ounced
    -0.73
    ufact
    -0.70
    schild
    -0.68
    lehem
    -0.67
    ifiers
    -0.66
    espie
    -0.66
    shire
    -0.65
    iazep
    -0.65
    POSITIVE LOGITS
    Ģ
    1.11
    λ
    0.98
    âĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢ
    0.91
    âĶĢâĶĢâĶĢâĶĢ
    0.89
    ï¸ı
    0.88
    ο
    0.82
    llan
    0.82
    α
    0.81
    ques
    0.78
    Ïģ
    0.78
    Activations Density 0.009%

    No Known Activations