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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. 5615
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    Explanations

    proper names of people

    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
    yout
    -0.96
    ebus
    -0.93
    ugi
    -0.93
    pmwiki
    -0.92
    ibaba
    -0.92
    nown
    -0.90
    cedented
    -0.90
    ebin
    -0.88
    ikawa
    -0.87
    asus
    -0.86
    POSITIVE LOGITS
     Jenner
    1.33
     McKay
    1.25
     Reynolds
    1.23
     Carter
    1.22
     Robertson
    1.21
     McL
    1.20
     McKenna
    1.18
     Walsh
    1.18
     McKenzie
    1.17
     Manning
    1.16
    Activations Density 0.165%

    No Known Activations