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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 0-RES-JB
    6. 4684
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    Explanations

    references to locations or entities with the word "Wood" in them

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "Wood."

    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
     masc
    -0.78
    cheat
    -0.75
     aliases
    -0.74
     lambda
    -0.70
     crore
    -0.68
     immunity
    -0.66
     invari
    -0.65
     @@
    -0.63
     fri
    -0.63
    士
    -0.63
    POSITIVE LOGITS
     Wood
    3.70
    Wood
    2.65
     Woods
    1.90
     wood
    1.84
     Woody
    1.54
    wood
    1.54
    WOOD
    1.50
     Wooden
    1.47
     Woodward
    1.39
     Oak
    1.38
    Activations Density 0.010%

    No Known Activations