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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. 7-RES-JB
    6. 3135
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    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    adr
    -0.64
     DRAG
    -0.63
     Maker
    -0.62
    ILA
    -0.62
     Franç
    -0.62
     Barth
    -0.61
    andom
    -0.60
    Lost
    -0.60
    acs
    -0.60
    oglu
    -0.60
    POSITIVE LOGITS
    ness
    1.70
    ly
    1.51
    nesses
    1.50
    est
    1.31
    NESS
    1.15
    itude
    1.10
    LY
    1.03
     enough
    0.99
    ening
    0.97
    hearted
    0.97
    Activations Density 0.201%

    No Known Activations