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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. 13115
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    Explanations

    sentences ending with a full stop followed by a high activation number, often representing a decisive or impactful statement

    oai_token-act-pair · gpt-3.5-turbo

    sentence-ending punctuation

    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
     tremend
    -0.91
     imaginable
    -0.86
     downright
    -0.83
     sheer
    -0.81
     defin
    -0.80
     challeng
    -0.79
     conscience
    -0.79
     leaps
    -0.77
     truly
    -0.77
     affili
    -0.77
    POSITIVE LOGITS
     However
    1.58
     Officials
    1.55
     Initially
    1.41
     But
    1.38
     Shortly
    1.37
     Earlier
    1.37
     According
    1.37
     During
    1.37
     Sources
    1.36
     Its
    1.36
    Activations Density 0.366%

    No Known Activations