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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. 3-RES-JB
    11. 5982
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    Explanations

    ages mentioned in the text

    oai_token-act-pair · gpt-3.5-turbo

    references to age and aging

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lar
    -0.72
     Bundy
    -0.72
    vernment
    -0.70
    edia
    -0.69
    eln
    -0.68
    henko
    -0.68
    chief
    -0.65
    ancial
    -0.64
     Sack
    -0.64
     Loch
    -0.63
    POSITIVE LOGITS
    Age
    0.86
    liest
    0.82
    lier
    0.82
     age
    0.82
    lihood
    0.75
     ages
    0.68
    uating
    0.65
     cohorts
    0.65
    pool
    0.64
     olds
    0.64
    Activations Density 0.023%

    No Known Activations