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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. 4-RES-JB
    11. 19529
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    Explanations

    news-related terms related to media coverage

    oai_token-act-pair · gpt-3.5-turbo

    references to articles, stories, and their contextual placement within media

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    natureconservancy
    -0.75
     Glac
    -0.74
    essim
    -0.71
    hiba
    -0.71
    ccording
    -0.71
    acci
    -0.69
    ynthesis
    -0.68
    nown
    -0.68
    jad
    -0.68
    ahon
    -0.67
    POSITIVE LOGITS
     loader
    0.81
    kefeller
    0.71
    runner
    0.69
     pack
    0.66
     baggage
    0.66
     ledge
    0.66
    zl
    0.65
    street
    0.65
    loader
    0.65
     faction
    0.61
    Activations Density 0.058%

    No Known Activations