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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. 9-RES-JB
    6. 8174
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    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
     Firstly
    -0.71
     nutshell
    -0.69
    anny
    -0.66
    velop
    -0.62
    entin
    -0.61
     Frie
    -0.61
     Owl
    -0.61
     whichever
    -0.58
     Guarant
    -0.58
     Âł Âł Âł Âł Âł Âł Âł Âł
    -0.58
    POSITIVE LOGITS
     similarly
    1.50
     similar
    1.35
     likewise
    1.18
     equally
    1.13
     same
    0.93
    similar
    0.91
    same
    0.90
    Similar
    0.89
     emulate
    0.87
     comparable
    0.85
    Activations Density 0.575%

    No Known Activations