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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. 7-RES-JB
    11. 16753
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    Explanations

    proper names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    brackets and parentheses indicating references or citations in text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    wcs
    -0.95
    alysed
    -0.84
    ilaterally
    -0.80
    ometimes
    -0.78
    iae
    -0.77
    iculty
    -0.75
    ategory
    -0.72
    icult
    -0.72
    yout
    -0.72
    awaru
    -0.71
    POSITIVE LOGITS
     Reynolds
    0.99
     McC
    0.89
     Sawyer
    0.88
     Smith
    0.88
     McAuliffe
    0.88
     Cul
    0.87
    McC
    0.87
     Baldwin
    0.87
     Rooney
    0.87
     Richardson
    0.86
    Activations Density 0.095%

    No Known Activations