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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. 6-RES-JB
    11. 5119
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    Explanations

    quotations

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of quotation marks and related punctuation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aque
    -0.83
    ilyn
    -0.82
    ouver
    -0.79
    enzie
    -0.78
    ible
    -0.77
    rikes
    -0.77
    atted
    -0.75
    oid
    -0.75
    eele
    -0.72
    AGES
    -0.71
    POSITIVE LOGITS
    cipled
    0.73
    !--
    0.68
    Page
    0.67
     Zoro
    0.65
     indec
    0.62
    mington
    0.60
    oti
    0.59
    ysis
    0.59
    âĢ¢âĢ¢âĢ¢âĢ¢
    0.58
    ````
    0.58
    Activations Density 0.022%

    No Known Activations