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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 2-RES-JB
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    Explanations

    phrases related to historical figures, particularly those involving the name "Franklin."

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Franklin."

    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
    akening
    -0.87
    haps
    -0.81
    ynt
    -0.81
    Trend
    -0.74
    visual
    -0.74
    atched
    -0.73
    oided
    -0.72
    udic
    -0.72
    dust
    -0.71
    amd
    -0.71
    POSITIVE LOGITS
     Franklin
    1.07
     Roosevelt
    0.98
    hurst
    0.80
    olini
    0.79
     Fo
    0.77
     Richards
    0.75
     Hudson
    0.75
     Township
    0.72
    ãĥ¼ãĥĨ
    0.70
     Weasley
    0.70
    Activations Density 0.005%

    No Known Activations