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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. 9-RES-JB
    11. 23288
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    INDEX
    Explanations

    names of places or companies

    oai_token-act-pair · gpt-3.5-turbo

    instances of the letter "s"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    Compare
    -0.66
    ilater
    -0.64
     consolid
    -0.63
    Events
    -0.62
     promoters
    -0.60
    TEXTURE
    -0.60
     dissemin
    -0.56
     vested
    -0.56
     arming
    -0.56
    yg
    -0.56
    POSITIVE LOGITS
    ullivan
    1.06
    pite
    1.06
    wered
    1.05
    aurus
    1.02
    leeve
    1.02
    kaya
    1.00
     Revenge
    0.99
    atisf
    0.99
    ippi
    0.95
    ayers
    0.93
    Activations Density 0.146%

    No Known Activations