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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. 5-RES-JB
    6. 9042
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    Explanations

    mentions of talk or interview shows along with specific details like names of the shows or hosts

    oai_token-act-pair · gpt-3.5-turbo

    references to television shows and appearances

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    uilt
    -0.76
    auga
    -0.76
     stagn
    -0.69
    oras
    -0.69
    uay
    -0.68
     labou
    -0.68
    orius
    -0.68
     defective
    -0.68
     leve
    -0.67
    ritis
    -0.66
    POSITIVE LOGITS
     aired
    1.37
     airs
    1.31
     television
    1.23
     broadcasts
    1.23
     TV
    1.23
     airing
    1.22
     ABC
    1.22
     NBC
    1.20
    NBC
    1.19
    levision
    1.18
    Activations Density 0.523%

    No Known Activations