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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. 17570
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    Explanations

    names, specifically focusing on the name "Ralph" and "Wolfgang."

    oai_token-act-pair · gpt-3.5-turbo

    the name "Ralph," as well as its variations and mentions

    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
    mble
    -0.80
    kers
    -0.75
    cases
    -0.74
    glers
    -0.73
    ansas
    -0.71
    gerald
    -0.71
    stroke
    -0.69
    lled
    -0.69
    tenance
    -0.68
     Archdemon
    -0.67
    POSITIVE LOGITS
    andom
    0.87
     Lauren
    0.87
     Ralph
    0.82
    onse
    0.81
    otti
    0.79
     Wald
    0.78
    hea
    0.78
    acco
    0.76
    acet
    0.76
    olph
    0.76
    Activations Density 0.005%

    No Known Activations