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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. 10-RES-JB
    11. 7116
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    Explanations

    names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks, particularly commas, in lists of names

    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
    =\"
    -0.73
    ":"/
    -0.72
    medi
    -0.65
    Compat
    -0.63
    ptions
    -0.63
    compl
    -0.62
    Normal
    -0.62
    entimes
    -0.61
    wrapper
    -0.60
    izen
    -0.59
    POSITIVE LOGITS
     Geoff
    1.17
     Dustin
    1.16
     Michele
    1.16
     Jr
    1.16
     Pamela
    1.16
     Stephanie
    1.15
     Michael
    1.15
     Darren
    1.14
     Richie
    1.14
     Jason
    1.14
    Activations Density 0.125%

    No Known Activations