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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. 2-RES-JB
    11. 21988
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    Explanations

    proper nouns, specifically focusing on names of people

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns related to specific people, particularly in a political context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    icably
    -0.90
    ĪĴ
    -0.79
    ORN
    -0.74
    raid
    -0.69
    erous
    -0.66
    icut
    -0.66
    lihood
    -0.65
    iliary
    -0.64
    DragonMagazine
    -0.62
    raltar
    -0.62
    POSITIVE LOGITS
    othal
    1.02
    itol
    0.97
    stein
    0.88
    amus
    0.87
    amic
    0.86
    ativity
    0.85
    amo
    0.82
    endas
    0.80
    crow
    0.77
    steen
    0.76
    Activations Density 0.018%

    No Known Activations