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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. 2254
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    comparisons or contrasts in a text

    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
    )",
    -0.75
    :[
    -0.69
    Scroll
    -0.69
    ilater
    -0.69
    :-
    -0.68
    :#
    -0.68
    rador
    -0.65
    :]
    -0.65
    :,
    -0.63
    ":["
    -0.61
    POSITIVE LOGITS
     goddamn
    0.86
    enegger
    0.69
     equals
    0.66
     fucking
    0.66
    BILITY
    0.65
     damn
    0.62
     âī¡
    0.62
     sucks
    0.60
     suck
    0.60
     godd
    0.60
    Activations Density 0.521%

    No Known Activations