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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. 7-RES-JB
    11. 11698
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    Explanations

    names of individuals, potentially including surnames

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, specifically names of individuals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tions
    -0.72
    Tea
    -0.70
    rities
    -0.70
     Laos
    -0.69
    issance
    -0.67
    ruary
    -0.66
    owship
    -0.66
    ostics
    -0.66
    isted
    -0.64
    SPONSORED
    -0.62
    POSITIVE LOGITS
    antage
    0.68
     Ninja
    0.64
     Skydragon
    0.63
     Kyl
    0.63
    owitz
    0.63
    elson
    0.63
    bda
    0.61
    kowski
    0.60
    arkin
    0.59
     Blaz
    0.58
    Activations Density 0.093%

    No Known Activations