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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

    terms related to gums and chewing

    oai_token-act-pair · gpt-3.5-turbo

    repeated mentions of the word "gum."

    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
    inen
    -0.86
    ICS
    -0.74
    Technical
    -0.71
    ECH
    -0.71
     Levi
    -0.70
     Dayton
    -0.70
     Defenders
    -0.70
    ————————
    -0.69
     Fundamental
    -0.67
     Asylum
    -0.67
    POSITIVE LOGITS
     gum
    1.39
    ming
    1.18
     chewing
    1.05
    balls
    0.97
    ball
    0.91
    drops
    0.87
    strings
    0.86
    bag
    0.86
     wrapper
    0.86
    mi
    0.85
    Activations Density 0.005%

    No Known Activations