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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. 2452
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    questions related to interviews or discussions

    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
     multiplied
    -0.78
     hiber
    -0.72
     totality
    -0.64
     buggy
    -0.63
     spawned
    -0.63
     Spectre
    -0.62
     grav
    -0.62
     chanted
    -0.61
     multiplying
    -0.61
     Slug
    -0.61
    POSITIVE LOGITS
    JB
    1.00
    JM
    0.98
    Josh
    0.96
    JJ
    0.95
    Answer
    0.94
    Justin
    0.93
    AH
    0.92
    OA
    0.92
    DK
    0.91
    Mich
    0.90
    Activations Density 0.092%

    No Known Activations