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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. 6637
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    oai_token-act-pair · gpt-3.5-turbo
    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
    Magikarp
    -0.65
    IGHTS
    -0.64
     spots
    -0.64
     suscept
    -0.63
     rooft
    -0.63
     thinner
    -0.61
    KER
    -0.61
    BILITY
    -0.60
     marble
    -0.59
     balcon
    -0.59
    POSITIVE LOGITS
    angered
    1.28
    owment
    1.21
    urance
    1.10
    angering
    1.10
    orph
    1.03
    ogenous
    1.00
    ocrin
    0.98
    ocrine
    0.97
    owed
    0.91
    orse
    0.90
    Activations Density 0.041%

    No Known Activations