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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. 20696
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    INDEX
    Explanations

    words related to specific locations or landmarks

    oai_token-act-pair · gpt-3.5-turbo

    mentions of public squares

    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
    ERAL
    -0.85
    urally
    -0.67
    é»Ĵ
    -0.65
    è¡
    -0.65
    ̶
    -0.63
     precon
    -0.63
    omez
    -0.62
    orship
    -0.62
     subtitles
    -0.62
     à¨
    -0.61
    POSITIVE LOGITS
     Enix
    1.48
     Mile
    0.97
     Square
    0.96
    Square
    0.96
    cade
    0.86
    pants
    0.85
     Feet
    0.75
    Trade
    0.74
     Garage
    0.73
    cross
    0.73
    Activations Density 0.008%

    No Known Activations