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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. 2548
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    Explanations

    words related to materials and their various uses

    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
    ãĥĥãĥī
    -0.74
    etheless
    -0.74
    çīĪ
    -0.70
     Canaver
    -0.68
    é¾
    -0.67
    UTC
    -0.64
    0000000000000000
    -0.62
    natureconservancy
    -0.61
    ãĥĺãĥ©
    -0.60
    pixel
    -0.60
    POSITIVE LOGITS
     purposes
    1.03
     etc
    0.95
     or
    0.86
     applications
    0.80
     situations
    0.75
     contexts
    0.74
     emergencies
    0.71
     competitions
    0.68
     occasions
    0.67
    .[
    0.67
    Activations Density 0.644%

    No Known Activations