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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 4060
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    INDEX
    Explanations

    year numbers and author names in a formatted structure frequently seen in academic references

    oai_token-act-pair · gpt-3.5-turbo

    references to authors and publication details

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    endi
    -0.63
    itiz
    -0.61
     thous
    -0.61
    today
    -0.60
    VIDIA
    -0.60
    liners
    -0.59
    terday
    -0.59
    liner
    -0.58
    priority
    -0.58
    theless
    -0.58
    POSITIVE LOGITS
     et
    1.06
     Handbook
    1.05
    eds
    0.94
     ed
    0.91
     1996
    0.86
     "'
    0.86
     2004
    0.85
     Jr
    0.85
     2002
    0.85
     1991
    0.84
    Activations Density 0.061%

    No Known Activations