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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. 9-RES-JB
    11. 2744
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    oai_token-act-pair · gpt-3.5-turbo

    terms related to recovery and data management

    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
    ighed
    -0.81
    akable
    -0.79
    Ô
    -0.78
    20439
    -0.70
    ived
    -0.70
    ̶
    -0.69
    othe
    -0.69
    clud
    -0.67
    ivil
    -0.67
    kef
    -0.66
    POSITIVE LOGITS
     system
    1.02
     systems
    1.00
     modules
    0.95
     stations
    0.91
     station
    0.90
     apparatus
    0.90
     kits
    0.87
     panels
    0.86
     chamber
    0.86
     units
    0.85
    Activations Density 0.489%

    No Known Activations