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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. 6-RES-JB
    11. 11952
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    Explanations

    proper nouns or names

    oai_token-act-pair · gpt-3.5-turbo

    specific names and references to individuals or groups

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hap
    -0.90
    pell
    -0.66
    ivably
    -0.59
    oven
    -0.57
    advertisement
    -0.55
    2020
    -0.55
    lov
    -0.54
     versus
    -0.54
     endif
    -0.53
    088
    -0.52
    POSITIVE LOGITS
    taboola
    0.67
    tro
    0.66
     scrut
    0.65
     wont
    0.60
     Tata
    0.57
     ',
    0.57
    tarians
    0.57
    ',
    0.56
     Swed
    0.56
    enum
    0.55
    Activations Density 0.396%

    No Known Activations