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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. 3-RES-JB
    11. 15385
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    Explanations

    phrases referring to scientific research studies

    oai_token-act-pair · gpt-3.5-turbo

    references to research studies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     gr
    -0.58
     Chili
    -0.57
     Lann
    -0.57
    gran
    -0.56
    ward
    -0.56
    entity
    -0.55
     Americ
    -0.55
     tranqu
    -0.55
     Ric
    -0.55
     frost
    -0.54
    POSITIVE LOGITS
    uggest
    1.05
    udo
    1.02
    heet
    0.90
    manship
    0.86
    ilk
    0.85
    chool
    0.83
    hops
    0.82
    hig
    0.82
    study
    0.81
    krit
    0.80
    Activations Density 0.027%

    No Known Activations