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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. 4213
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    Explanations

    terms related to specific franchises and brand names

    oai_token-act-pair · gpt-3.5-turbo

    references to popular entertainment franchises and characters

    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
    NW
    -0.64
    Ju
    -0.63
    mat
    -0.62
    Nar
    -0.61
    jet
    -0.59
    Large
    -0.58
    Las
    -0.57
    Nav
    -0.57
     Deer
    -0.56
     Cow
    -0.56
    POSITIVE LOGITS
     rul
    0.77
    eers
    0.70
    ertodd
    0.70
    stice
    0.64
    aldi
    0.64
     equivalents
    0.63
     Colossus
    0.63
    akeru
    0.61
    alion
    0.60
     regulars
    0.60
    Activations Density 0.625%

    No Known Activations