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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. 17019
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    INDEX
    Explanations

    phrases related to emotional impact and excitement

    oai_token-act-pair · gpt-3.5-turbo

    references to cultural power dynamics and representation

    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
    raints
    -0.83
    ounced
    -0.81
    enegger
    -0.77
    shire
    -0.71
    nih
    -0.71
    ounces
    -0.68
    iazep
    -0.67
    sylvania
    -0.66
    ennett
    -0.66
    ometimes
    -0.65
    POSITIVE LOGITS
    âĶĢâĶĢâĶĢâĶĢ
    0.97
    âĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢ
    0.96
    λ
    0.92
    ï¸ı
    0.87
    ptic
    0.86
    Ģ
    0.81
    llan
    0.81
    ELY
    0.78
    ï¸
    0.78
    qua
    0.76
    Activations Density 0.012%

    No Known Activations