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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. 19705
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    Explanations

    references to sources or origins

    oai_token-act-pair · gpt-3.5-turbo

    the phrase "from" associated with various sources or categories

    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
    ratulations
    -0.81
    merce
    -0.78
    ido
    -0.74
    ItemTracker
    -0.70
    rils
    -0.69
    mare
    -0.68
    exe
    -0.67
    ube
    -0.67
    hai
    -0.66
    rition
    -0.65
    POSITIVE LOGITS
     afar
    1.35
     across
    1.01
     abroad
    0.96
     scratch
    0.94
     around
    0.92
     disparate
    0.89
     different
    0.88
     various
    0.88
     inside
    0.88
     varying
    0.87
    Activations Density 0.152%

    No Known Activations