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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. 2442
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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
    !'
    -0.93
    ?'
    -0.75
    .'
    -0.73
    )'
    -0.71
    ,'
    -0.68
    !'"
    -0.67
    ').
    -0.64
    ?'"
    -0.61
    '),
    -0.56
    .'"
    -0.55
    POSITIVE LOGITS
     "[
    1.36
     "'
    1.32
     "âĢ¦
    1.27
     "
    1.22
     "...
    1.22
     "(
    1.08
     "#
    0.98
     ""
    0.93
     ''
    0.90
    "[
    0.87
    Activations Density 1.931%

    No Known Activations