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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. 8-RES-JB
    11. 2127
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    Explanations

    large quantities or multiple instances of items

    oai_token-act-pair · gpt-3.5-turbo

    references to large quantities or numerous instances

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    assisted
    -0.84
    ãĤ´ãĥ³
    -0.84
    anism
    -0.80
    arta
    -0.77
    venture
    -0.75
    ãĥ¼ãĥ«
    -0.75
    ership
    -0.73
    buster
    -0.72
    enment
    -0.70
    advertising
    -0.70
    POSITIVE LOGITS
     indications
    1.08
     reasons
    1.05
     similarities
    1.05
     ways
    0.99
     instances
    0.98
     occasions
    0.96
     exceptions
    0.93
     variations
    0.91
     differences
    0.89
     opportunities
    0.88
    Activations Density 0.156%

    No Known Activations