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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. 11-RES-JB
    11. 21932
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    Explanations

    phrases related to facilitating or enabling various activities

    oai_token-act-pair · gpt-3.5-turbo

    references to facilities or infrastructure

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Provided
    -0.64
     undone
    -0.63
     clipboard
    -0.61
     feder
    -0.60
     Norn
    -0.60
     Seas
    -0.59
     cousin
    -0.59
     grandfather
    -0.59
     mate
    -0.58
     Channel
    -0.57
    POSITIVE LOGITS
    ilitation
    1.71
    ilitating
    1.50
    ilit
    1.46
    ilities
    1.41
    ulty
    1.39
    ility
    1.34
    sim
    1.28
    eless
    1.25
    iliate
    1.15
    ework
    1.09
    Activations Density 0.057%

    No Known Activations