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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. 10-RES-JB
    11. 20631
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    INDEX
    Explanations

    positive and negative affirmations or exclamations

    oai_token-act-pair · gpt-3.5-turbo

    expressions of disagreement or alarm

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    geries
    -0.78
    iage
    -0.76
     satell
    -0.75
    onite
    -0.71
    aido
    -0.71
    ogene
    -0.70
     decomp
    -0.70
    wana
    -0.69
     wagon
    -0.68
    ijah
    -0.67
    POSITIVE LOGITS
    ï¸ı
    1.36
    ï¸
    0.99
    âĢ
    0.98
     Therefore
    0.95
    Therefore
    0.94
     âĢ
    0.92
    âĶĢâĶĢâĶĢâĶĢ
    0.91
    ¯¯
    0.91
     Asked
    0.90
     Then
    0.88
    Activations Density 0.092%

    No Known Activations