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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. 0-RES-JB
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    Explanations

    proper nouns related to historical figures, especially those with the name "Franklin."

    oai_token-act-pair · gpt-3.5-turbo

    references to Franklin and FDR

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĥ¼
    -0.81
    shed
    -0.75
     embed
    -0.74
    atable
    -0.71
    mask
    -0.70
    Ãį
    -0.70
     shed
    -0.69
     UAE
    -0.68
     armour
    -0.68
     transm
    -0.67
    POSITIVE LOGITS
     Franklin
    3.90
     FDR
    1.59
     Roosevelt
    1.54
    Frank
    1.48
     Fulton
    1.40
     Madison
    1.36
     Truman
    1.33
     Jefferson
    1.33
     Lafayette
    1.23
    Madison
    1.22
    Activations Density 0.013%

    No Known Activations