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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. 5508
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    Explanations

    phrases or sentences with specific punctuation patterns, such as parentheses or commas followed by numbers

    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks and their associated contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
    ategor
    -0.74
    uber
    -0.72
    irie
    -0.71
    eco
    -0.70
    ãĤ®
    -0.70
    itialized
    -0.69
    onyms
    -0.69
    ¥
    -0.68
    quished
    -0.68
    coon
    -0.68
    POSITIVE LOGITS
     whereas
    1.12
     hence
    1.09
     but
    1.06
     though
    0.97
     necess
    0.97
     ensuring
    0.94
     resulting
    0.93
     however
    0.92
     prompting
    0.91
     thus
    0.90
    Activations Density 0.485%

    No Known Activations