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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. 11-RES-JB
    11. 2831
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    Explanations

    capital letters or special characters in the middle of words

    oai_token-act-pair · gpt-3.5-turbo

    instances of placeholders or incomplete thoughts in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     eleph
    -1.01
    ò
    -0.94
     pione
    -0.91
    aditional
    -0.90
    Þ
    -0.90
     exting
    -0.86
     practition
    -0.85
    ThumbnailImage
    -0.84
    Ý
    -0.83
    senal
    -0.82
    POSITIVE LOGITS
    Anyway
    0.71
    ³³³
    0.68
    ↵
    0.67
    NULL
    0.67
    BUT
    0.65
    Honestly
    0.63
    ³³³³³³³³³³³³³³³³
    0.62
    OH
    0.60
     Imran
    0.60
    ³³³³
    0.59
    Activations Density 0.546%

    No Known Activations