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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. 11090
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    Explanations

    words and phrases related to being at the forefront or leading in a particular field or industry

    oai_token-act-pair · gpt-3.5-turbo

    phrases that emphasize leadership or being at the forefront of an industry or initiative

    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
    Not in Any Lists

    No Comments

    Negative Logits
     disemb
    -0.77
     roomm
    -0.72
     truce
    -0.68
    aryn
    -0.67
     superiors
    -0.66
     Tsukuyomi
    -0.64
     fiance
    -0.64
     vomit
    -0.63
     dwellings
    -0.62
     congressman
    -0.62
    POSITIVE LOGITS
    anguard
    0.86
    selling
    0.83
     innov
    0.83
    oux
    0.81
     Leading
    0.80
     forefront
    0.79
     innovation
    0.77
    boards
    0.77
     worldwide
    0.76
    online
    0.74
    Activations Density 0.161%

    No Known Activations