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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
    11. 2825
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    INDEX
    Explanations

    proper nouns related to various locations or characters

    oai_token-act-pair · gpt-3.5-turbo

    references to the Lone Star State and related entities

    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
    lished
    -1.06
    ulating
    -0.97
    ulated
    -0.89
    ulates
    -0.86
    ULT
    -0.85
    ulators
    -0.85
    ult
    -0.79
    midt
    -0.78
    ulatory
    -0.77
    andal
    -0.76
    POSITIVE LOGITS
     Lone
    0.87
     Ranger
    0.86
     Tree
    0.84
     Drill
    0.83
    \\\\\\\\
    0.81
     Strip
    0.80
     Wolf
    0.79
     Wand
    0.77
    zie
    0.76
     Compan
    0.73
    Activations Density 0.013%

    No Known Activations