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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. 4-RES-JB
    11. 10598
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    Explanations

    specific and generic brand names or references

    oai_token-act-pair · gpt-3.5-turbo

    references to various brands

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

    No Comments

    Negative Logits
    pmwiki
    -0.85
    veyard
    -0.76
     Corps
    -0.74
     Poverty
    -0.71
    ipeg
    -0.69
    nesota
    -0.68
    ulhu
    -0.67
     Houth
    -0.66
     Maid
    -0.65
    otos
    -0.64
    POSITIVE LOGITS
     brands
    1.04
    Brand
    0.84
    enburg
    0.80
    acca
    0.80
    brand
    0.80
     loyalty
    0.77
     brand
    0.72
     logos
    0.72
    ishing
    0.72
    umers
    0.70
    Activations Density 0.016%

    No Known Activations