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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. 1076
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    Explanations

    words that are formatting and metadata-related, ignoring the actual content of the document

    oai_token-act-pair · gpt-3.5-turbo

    specific formatting or annotations in a document, particularly related to captions, numbers, or special characters

    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
     Nest
    -0.72
    083
    -0.71
     1983
    -0.70
     323
    -0.69
     1933
    -0.66
     unim
    -0.64
     Inher
    -0.64
     reluct
    -0.63
     113
    -0.63
     Alfred
    -0.62
    POSITIVE LOGITS
    6
    1.19
     6
    0.96
    546
    0.90
    626
    0.88
     Sixth
    0.88
    606
    0.86
    56
    0.85
    six
    0.84
     sixth
    0.83
    576
    0.82
    Activations Density 0.076%

    No Known Activations