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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. 10-RES-JB
    11. 1166
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    Explanations

    dates presented in a specific format 'Month day, year'

    oai_token-act-pair · gpt-3.5-turbo

    references to specific historical dates and events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ancest
    -0.66
    dden
    -0.61
     incent
    -0.60
    esthetic
    -0.59
     Caption
    -0.57
    advertisement
    -0.57
    vec
    -0.56
    nces
    -0.54
    worldly
    -0.54
     Deity
    -0.53
    POSITIVE LOGITS
     onwards
    0.81
     onward
    0.77
     incorporation
    0.64
     thereafter
    0.64
    »Ĵ
    0.64
    iscovery
    0.63
     alone
    0.62
     amended
    0.60
     they
    0.60
     Vog
    0.60
    Activations Density 0.176%

    No Known Activations