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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. 4853
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    word beginnings or prefixes

    oai_token-act-pair · gpt-3.5-turbo
    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
     manif
    -0.99
     manifold
    -0.79
     fronts
    -0.78
    geries
    -0.76
     bloc
    -0.76
     prolifer
    -0.74
     synerg
    -0.74
     detached
    -0.74
     blinded
    -0.74
     fashioned
    -0.73
    POSITIVE LOGITS
    ï¸ı
    1.30
    âĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢ
    1.11
    âĶĢâĶĢâĶĢâĶĢ
    1.09
    âĸ¬âĸ¬
    1.05
    âĸ
    1.02
    à¼
    1.00
     âĢº
    0.99
    ש
    0.98
    ×
    0.97
    Anonymous
    0.96
    Activations Density 0.070%

    No Known Activations