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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. 0-RES-JB
    6. 16794
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    Explanations

    TV-related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to television and related media

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     chains
    -0.66
     lightly
    -0.65
     imped
    -0.65
     Imper
    -0.64
     Gener
    -0.63
     rash
    -0.61
     corrosion
    -0.61
     Boeing
    -0.60
     clean
    -0.60
     measurable
    -0.60
    POSITIVE LOGITS
    tv
    4.45
    TV
    2.10
     tv
    2.01
    fm
    1.55
    levision
    1.27
     TV
    1.23
    flix
    1.20
    tf
    1.17
    vd
    1.16
    biz
    1.16
    Activations Density 0.010%

    No Known Activations