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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. 7-RES-JB
    11. 12455
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    Explanations

    words related to wedding events

    oai_token-act-pair · gpt-3.5-turbo

    mentions of weddings and related ceremonies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ostic
    -0.71
    ostics
    -0.70
    umar
    -0.68
    abilities
    -0.67
    generated
    -0.66
    ivism
    -0.65
    Cola
    -0.65
    omsky
    -0.65
    OLOGY
    -0.64
     recoil
    -0.64
    POSITIVE LOGITS
    nesday
    1.15
     procession
    0.90
     reception
    0.89
     ceremony
    0.86
     gown
    0.86
     receptions
    0.82
     chapel
    0.82
     invitation
    0.80
    maid
    0.79
     dress
    0.78
    Activations Density 0.028%

    No Known Activations