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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. 9-RES-JB
    11. 23682
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    Explanations

    references to advertising and marketing activities

    oai_token-act-pair · gpt-3.5-turbo

    terms related to advertising campaigns and promotional efforts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    borg
    -0.87
    ministic
    -0.76
    Ct
    -0.75
    inement
    -0.74
     physicists
    -0.73
    ajor
    -0.73
    ulty
    -0.72
    ropy
    -0.71
     reckoning
    -0.71
     solitude
    -0.71
    POSITIVE LOGITS
     billboards
    1.53
     advertising
    1.43
     ads
    1.43
     advertisements
    1.40
     commercials
    1.40
     Ads
    1.29
     touting
    1.28
    vertisement
    1.27
     advertisement
    1.24
     promotional
    1.22
    Activations Density 0.816%

    No Known Activations