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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. 1-RES-JB
    11. 13415
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    Explanations

    mentions of television networks

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of networks

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ++++++++++++++++
    -0.66
     hers
    -0.65
    gger
    -0.64
     QU
    -0.63
    juries
    -0.63
     Khe
    -0.62
    agon
    -0.62
    val
    -0.61
    ric
    -0.60
     Glory
    -0.60
    POSITIVE LOGITS
     networks
    1.39
     Networks
    1.20
    wana
    1.10
     network
    1.06
    cape
    0.98
    network
    0.97
     networking
    0.92
     connectivity
    0.90
     architectures
    0.90
     routers
    0.85
    Activations Density 0.006%

    No Known Activations