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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. 6-RES-JB
    11. 24464
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    Explanations

    proper nouns

    oai_token-act-pair · gpt-3.5-turbo

    the name "Con" followed by various associations, likely indicating a focus on a specific individual or entity related to events or discussions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    TPS
    -0.70
    uyomi
    -0.68
    assetsadobe
    -0.66
    terday
    -0.64
    aceutical
    -0.64
    allery
    -0.63
    adow
    -0.60
    HAEL
    -0.60
     Fenrir
    -0.60
    EStream
    -0.60
    POSITIVE LOGITS
    venient
    1.12
    ventional
    1.09
    crete
    1.09
    ventions
    1.09
    nex
    1.08
    secut
    1.07
    clusions
    1.05
    ceived
    1.03
    vict
    1.03
    cession
    1.02
    Activations Density 0.016%

    No Known Activations