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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. 11-RES-JB
    11. 3698
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    Explanations

    names of various individuals

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, specifically names of people and entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     occas
    -0.62
     pione
    -0.58
     millenn
    -0.57
     eleph
    -0.57
    Þ
    -0.56
     tremend
    -0.55
     Thumbnails
    -0.54
     roadside
    -0.54
    DeliveryDate
    -0.53
    isSpecial
    -0.53
    POSITIVE LOGITS
    ovich
    0.72
    acan
    0.68
    addafi
    0.67
    berman
    0.66
    rigan
    0.66
    oshenko
    0.65
    orius
    0.63
    aker
    0.63
    ouf
    0.63
    imov
    0.61
    Activations Density 0.218%

    No Known Activations