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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. 10-RES-JB
    11. 8469
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    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ggles
    -0.66
    iasis
    -0.62
    imester
    -0.60
    issance
    -0.59
    route
    -0.59
    tackle
    -0.57
     cares
    -0.57
    shield
    -0.56
     endeavors
    -0.56
    erenn
    -0.56
    POSITIVE LOGITS
     belonging
    1.17
     containing
    1.01
     relating
    1.00
     depicting
    0.99
     pertaining
    0.99
     totaling
    0.93
     resembling
    0.92
     indicating
    0.92
     incrim
    0.89
     detailing
    0.89
    Activations Density 0.333%

    No Known Activations