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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. 10692
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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
    bably
    -0.90
    conservancy
    -0.85
    theless
    -0.82
    igion
    -0.72
     slump
    -0.71
     laz
    -0.70
     coping
    -0.70
     hurd
    -0.69
     quarrel
    -0.69
    antically
    -0.69
    POSITIVE LOGITS
     Details
    1.35
     Dates
    1.25
     Detail
    1.24
     Holder
    1.22
     Sheet
    1.21
     Guide
    1.20
     Manager
    1.20
     Generator
    1.20
     Month
    1.18
     Calculator
    1.18
    Activations Density 0.278%

    No Known Activations