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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. 2533
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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
     unparalleled
    -0.69
     ingenious
    -0.69
     knack
    -0.69
    verbs
    -0.67
     phenomenal
    -0.66
     terrific
    -0.66
     incredible
    -0.66
     excellent
    -0.65
    cellent
    -0.65
     unmatched
    -0.64
    POSITIVE LOGITS
     anymore
    1.78
     nor
    1.23
     unless
    1.18
     anytime
    1.06
     lest
    1.03
    unless
    1.02
     whatsoever
    0.94
     any
    0.92
    until
    0.90
     anything
    0.89
    Activations Density 0.722%

    No Known Activations