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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. 23875
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    Explanations

    sentences ending in a period

    oai_token-act-pair · gpt-3.5-turbo

    sentences that express statements or conclusions

    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
     satell
    -0.82
     prosec
    -0.81
    ikuman
    -0.80
     deton
    -0.80
     assass
    -0.80
     tradem
    -0.77
     salv
    -0.77
     planned
    -0.76
     hoped
    -0.74
     unbeliev
    -0.73
    POSITIVE LOGITS
     Conversely
    1.59
     Similarly
    1.40
     Moreover
    1.38
     Indeed
    1.37
     Likewise
    1.34
     Interestingly
    1.34
     Furthermore
    1.32
     Specifically
    1.31
     Whereas
    1.24
     Consequently
    1.24
    Activations Density 0.460%

    No Known Activations