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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. 326
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    Explanations

    proper nouns

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "would" suggesting conditional or hypothetical scenarios

    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
    è¦ļéĨĴ
    -0.66
     Corpus
    -0.64
     Gutenberg
    -0.62
     Kag
    -0.60
    building
    -0.59
    values
    -0.58
     Diet
    -0.58
    AAA
    -0.58
     Ves
    -0.57
     Nieto
    -0.56
    POSITIVE LOGITS
     be
    1.12
     doubtless
    1.01
     undoubtedly
    0.97
     gladly
    0.96
     eventually
    0.92
     surely
    0.91
    've
    0.88
     never
    0.88
    soon
    0.88
     inevitably
    0.86
    Activations Density 0.162%

    No Known Activations