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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. 1-RES-JB
    11. 20166
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    Explanations

    names of specific individuals

    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 @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Downloadha
    -0.97
    staking
    -0.88
    terday
    -0.87
    arial
    -0.75
    ually
    -0.74
    afort
    -0.73
    ariat
    -0.72
    uous
    -0.72
    ature
    -0.70
     childbirth
    -0.68
    POSITIVE LOGITS
     Gow
    0.83
    nda
    0.83
    alus
    0.79
    tin
    0.79
    lists
    0.79
    mus
    0.79
    glers
    0.79
    swick
    0.77
    dy
    0.77
    lins
    0.76
    Activations Density 0.023%

    No Known Activations