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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. 6720
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    INDEX
    Explanations

    information related to statements about various topics, including personal life, sports, politics, religion, technology, and future predictions

    oai_token-act-pair · gpt-3.5-turbo

    significant themes related to the impact of small actions or statements in the digital world

    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
    ivably
    -0.75
    iban
    -0.73
    çīĪ
    -0.72
    SPONSORED
    -0.70
    dit
    -0.68
    ply
    -0.68
    abase
    -0.67
    Currently
    -0.65
    Rail
    -0.64
    lvl
    -0.63
    POSITIVE LOGITS
     losers
    0.96
     Sometimes
    0.96
     adversity
    0.95
     sometimes
    0.93
     surprises
    0.93
     mistakes
    0.92
     endings
    0.92
    Sometimes
    0.88
     imperfect
    0.88
     fleeting
    0.86
    Activations Density 0.753%

    No Known Activations