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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. 16921
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    Explanations

    names, specifically focusing on names with a pattern of consonants and vowels

    oai_token-act-pair · gpt-3.5-turbo

    names and identifiers of people

    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
    gerald
    -0.83
    ansas
    -0.83
    unin
    -0.81
    idi
    -0.76
    otropic
    -0.76
    acters
    -0.75
    sonian
    -0.73
    keyes
    -0.73
    shit
    -0.73
    leaders
    -0.72
    POSITIVE LOGITS
    theless
    0.76
    ETHOD
    0.73
     Yugoslavia
    0.71
    borough
    0.70
    ukemia
    0.68
     Joy
    0.68
    essage
    0.67
    aples
    0.67
    ISTER
    0.67
     Wynne
    0.67
    Activations Density 0.025%

    No Known Activations