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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 19147
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    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
     satell
    -0.77
     mathemat
    -0.77
     declining
    -0.76
     controvers
    -0.76
     undermin
    -0.76
     prescriptions
    -0.75
     scattering
    -0.75
     diminishing
    -0.74
     sustaining
    -0.73
     neighb
    -0.73
    POSITIVE LOGITS
    ï¸ı
    1.19
    ttp
    1.08
    ï¸
    1.05
    ¯
    1.03
     è£ıè
    0.98
    âľ
    0.93
    âĢ
    0.91
    âĻ
    0.90
    ðŁĺ
    0.89
    https
    0.87
    Activations Density 0.162%

    No Known Activations