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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. 9-RES-JB
    11. 1829
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    Explanations

    proper nouns related to educational institutions, individuals, and locations

    oai_token-act-pair · gpt-3.5-turbo

    references to educational institutions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     DOES
    -0.51
     depends
    -0.50
     HAS
    -0.49
     belongs
    -0.48
     AND
    -0.47
     ALWAYS
    -0.46
     owes
    -0.45
     stretches
    -0.45
     ignores
    -0.45
    ĻĤ
    -0.44
    POSITIVE LOGITS
     respectively
    1.29
    +.
    1.13
    $.
    0.98
    .[
    0.93
    %.
    0.87
    !.
    0.84
     alike
    0.82
     attRot
    0.82
    .).
    0.80
    .
    0.79
    Activations Density 1.101%

    No Known Activations