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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. 9128
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    Explanations

    words related to people's names or titles

    oai_token-act-pair · gpt-3.5-turbo

    specific noun forms or variations

    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
    Not in Any Lists

    No Comments

    Negative Logits
    OLOGY
    -0.65
    LESS
    -0.63
     citation
    -0.61
     Presidents
    -0.58
     weed
    -0.57
     communism
    -0.57
    ATTLE
    -0.56
     travellers
    -0.55
     EVs
    -0.55
     realistically
    -0.54
    POSITIVE LOGITS
    kaya
    1.40
    ullivan
    1.35
    kie
    1.27
    ilver
    1.26
    ki
    1.25
    nyder
    1.22
    ky
    1.20
    mith
    1.19
    lav
    1.17
    inki
    1.17
    Activations Density 0.154%

    No Known Activations