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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. 9-RES-JB
    11. 3668
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĤ©
    -0.69
     blur
    -0.66
     crop
    -0.64
    ................................................................
    -0.63
    ''.
    -0.63
    oiler
    -0.62
     perjury
    -0.62
     rod
    -0.61
     nucleus
    -0.61
     WRITE
    -0.61
    POSITIVE LOGITS
    Games
    1.06
    Gold
    1.04
    Chem
    1.02
    Shop
    1.00
    Site
    0.99
    DX
    0.98
    Textures
    0.98
    Machine
    0.96
    Ge
    0.96
    swers
    0.96
    Activations Density 0.179%

    No Known Activations