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

    references to the word "Tiger"

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "Tiger"

    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
    chool
    -0.76
    buquerque
    -0.73
    URR
    -0.70
    к
    -0.69
    SOURCE
    -0.69
    nesota
    -0.68
    itably
    -0.68
    mble
    -0.67
    cation
    -0.67
    ITY
    -0.67
    POSITIVE LOGITS
     Tiger
    1.21
     Woods
    0.96
     Tigers
    0.83
    opard
    0.82
    fish
    0.81
    culosis
    0.79
     Lily
    0.78
    hawk
    0.77
     Elephant
    0.77
     Panda
    0.77
    Activations Density 0.012%

    No Known Activations