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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. 23430
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    Explanations

    quotations or reported speech marked by double quotation marks

    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks, specifically variations of quotation marks and periods

    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
    oid
    -0.82
    oids
    -0.79
    ages
    -0.78
    AGES
    -0.77
    aque
    -0.76
    anu
    -0.75
    ouver
    -0.74
    inki
    -0.74
    ilyn
    -0.73
    rikes
    -0.70
    POSITIVE LOGITS
     Zoro
    0.70
    mington
    0.69
    ricanes
    0.67
     indec
    0.63
    cipled
    0.62
    Page
    0.61
    ````
    0.59
    !--
    0.59
     Hive
    0.58
    âĢ¢âĢ¢âĢ¢âĢ¢
    0.57
    Activations Density 0.032%

    No Known Activations