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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. 9121
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    Explanations

    code snippets or programming related keywords

    oai_token-act-pair · gpt-3.5-turbo

    elements of C++ programming syntax

    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
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    No Comments

    Negative Logits
    gaard
    -1.08
    bots
    -0.94
    agall
    -0.87
    romeda
    -0.87
    bnb
    -0.84
    urus
    -0.83
    OHN
    -0.82
    aways
    -0.82
    hm
    -0.82
    urers
    -0.81
    POSITIVE LOGITS
    []
    1.05
     (*
    0.96
    ptr
    0.94
    Ptr
    0.86
     []
    0.85
     __
    0.81
     num
    0.78
     ptr
    0.74
     dw
    0.73
     Width
    0.72
    Activations Density 0.055%

    No Known Activations