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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. 11557
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    Explanations

    proper nouns, specifically names of people

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names of individuals and characters

    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
    quer
    -0.92
    chal
    -0.85
    irin
    -0.79
    el
    -0.73
    jac
    -0.71
    ggle
    -0.71
    arist
    -0.70
    bg
    -0.70
    laus
    -0.68
    emet
    -0.67
    POSITIVE LOGITS
     Fowler
    0.99
    herty
    0.84
     Osw
    0.82
     subp
    0.82
    sonian
    0.81
    reys
    0.80
    sburg
    0.74
    ibrary
    0.69
     mosqu
    0.68
    shire
    0.68
    Activations Density 0.008%

    No Known Activations