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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. 11467
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    Explanations

    proper nouns, specifically the name 'Kate'

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Kate" in various contexts

    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
    ATIONS
    -0.81
    atio
    -0.72
    andum
    -0.72
    ACTED
    -0.71
    ãĤ¼
    -0.70
    otine
    -0.65
    cipl
    -0.64
    notation
    -0.64
    ATION
    -0.63
    Reloaded
    -0.63
    POSITIVE LOGITS
    eatures
    1.00
    innon
    0.89
    patrick
    0.87
    eed
    0.84
    ellar
    0.81
    escription
    0.77
    es
    0.77
    eg
    0.76
    ez
    0.76
    iency
    0.75
    Activations Density 0.092%

    No Known Activations