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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. 2295
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    expressions indicating something is noteworthy or engaging

    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
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    Negative Logits
    otent
    -0.74
    arest
    -0.71
    reditation
    -0.71
    oise
    -0.70
    uts
    -0.69
    avers
    -0.69
    required
    -0.68
    uter
    -0.68
    sorry
    -0.67
    ussy
    -0.67
    POSITIVE LOGITS
     tid
    0.95
     trivia
    0.93
     anecdotes
    0.90
     juxtap
    0.89
     twists
    0.87
    arios
    0.85
     Flavoring
    0.83
     disse
    0.83
     insights
    0.82
     discoveries
    0.81
    Activations Density 0.064%

    No Known Activations