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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
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    Explanations

    mentions of the name "Meredith" and the word "pint" with a focus on the number of instances of "pint" being higher than other mentions

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific individuals or names, particularly "Meredith" and "Lowell."

    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
    nels
    -0.95
    erd
    -0.81
    ions
    -0.80
    arde
    -0.80
    ible
    -0.79
    rule
    -0.78
    ici
    -0.77
    icum
    -0.76
    ger
    -0.75
    fill
    -0.75
    POSITIVE LOGITS
     tatt
    0.72
    eredith
    0.67
     Moons
    0.67
     gallon
    0.65
     sharper
    0.65
     shar
    0.64
    umbn
    0.64
    cape
    0.64
     Meredith
    0.64
    bernatorial
    0.63
    Activations Density 0.028%

    No Known Activations