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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
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    Explanations

    mentions of weddings

    oai_token-act-pair · gpt-3.5-turbo

    terms related to weddings and wedding ceremonies

    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
    Downloadha
    -0.74
    vernment
    -0.70
    ussen
    -0.69
    ostics
    -0.68
    alys
    -0.68
    Cola
    -0.67
    chie
    -0.66
    ulhu
    -0.65
    umar
    -0.65
    enough
    -0.64
    POSITIVE LOGITS
    nesday
    1.16
     ceremony
    0.87
     wedding
    0.87
     chapel
    0.86
     receptions
    0.83
     Wedding
    0.82
    bands
    0.81
     ceremonies
    0.80
     weddings
    0.79
     gown
    0.78
    Activations Density 0.014%

    No Known Activations