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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. 8-RES-JB
    11. 15128
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    Explanations

    names or surnames, particularly Schwartz, and relational information such as contract extensions and signing

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific individuals or associated names

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    eral
    -0.73
    icable
    -0.66
    aries
    -0.66
    ocally
    -0.64
    govtrack
    -0.63
    cible
    -0.63
    icative
    -0.62
    ARY
    -0.62
    Reviewer
    -0.62
     trickle
    -0.62
    POSITIVE LOGITS
    midt
    1.02
    enegger
    0.95
    mann
    0.94
    uler
    0.91
    izophren
    0.86
    manship
    0.84
    meyer
    0.80
    lich
    0.77
    acher
    0.74
    feld
    0.74
    Activations Density 0.044%

    No Known Activations