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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. 8-RES-JB
    11. 24346
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    Explanations

    combinations of numbers and words in a sentence

    oai_token-act-pair · gpt-3.5-turbo

    instances of punctuation, particularly commas

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    utive
    -0.59
    minster
    -0.58
     POV
    -0.58
    foundation
    -0.57
    oret
    -0.57
    algia
    -0.57
    jit
    -0.56
    vised
    -0.55
    Morning
    -0.54
    ighed
    -0.54
    POSITIVE LOGITS
    there
    0.96
     respectively
    0.87
     they
    0.86
     there
    0.86
     wherein
    0.83
    they
    0.80
     THERE
    0.79
     albeit
    0.78
     we
    0.76
     namely
    0.73
    Activations Density 0.455%

    No Known Activations