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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 22513
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    Explanations

    television network names and programs

    oai_token-act-pair · gpt-3.5-turbo

    references to television networks and broadcasting schedules

    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
    crete
    -0.80
     mitigation
    -0.79
    aez
    -0.78
    potion
    -0.77
     geometry
    -0.72
    ysics
    -0.71
    objects
    -0.70
    ertodd
    -0.69
    auld
    -0.69
    Materials
    -0.69
    POSITIVE LOGITS
     broadcasts
    1.53
    levision
    1.49
     airing
    1.48
     TV
    1.48
     television
    1.47
     viewership
    1.46
     HBO
    1.45
     broadcast
    1.45
     broadcasting
    1.44
     CBS
    1.43
    Activations Density 0.932%

    No Known Activations