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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. 12622
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    INDEX
    Explanations

    descriptions or mentions of physical buildings

    oai_token-act-pair · gpt-3.5-turbo

    references to specific buildings

    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
    romeda
    -0.82
    phal
    -0.75
    sha
    -0.75
    ño
    -0.73
    ï¸ı
    -0.73
    poll
    -0.72
    ppe
    -0.72
    opard
    -0.71
    entimes
    -0.71
     Editorial
    -0.68
    POSITIVE LOGITS
    raper
    0.96
     constructed
    0.91
     renovations
    0.90
     blocks
    0.90
     occupancy
    0.88
     erected
    0.88
    building
    0.87
     buildings
    0.85
     renovation
    0.82
     apartments
    0.82
    Activations Density 0.027%

    No Known Activations