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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. 22690
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    INDEX
    Explanations

    mentions of specific TV networks and news programs

    oai_token-act-pair · gpt-3.5-turbo

    references to major television networks and their programs

    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
    wikipedia
    -0.78
    abiding
    -0.75
     privile
    -0.63
     pace
    -0.63
     Yelp
    -0.61
    etsy
    -0.59
     packing
    -0.58
    âĨij
    -0.58
     satisfying
    -0.58
     cart
    -0.58
    POSITIVE LOGITS
     interviewer
    1.07
    News
    1.07
     News
    1.03
     correspondent
    1.00
     reporter
    0.93
     Networks
    0.87
     Radio
    0.86
     Matters
    0.86
     reporters
    0.85
     Morning
    0.85
    Activations Density 0.113%

    No Known Activations