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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. 7-RES-JB
    11. 9725
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    Explanations

    specific years or dates mentioned in the text

    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks and their structure in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     charms
    -0.67
    aband
    -0.60
     facilit
    -0.60
     narcotics
    -0.58
    cius
    -0.56
     whistle
    -0.56
     instinct
    -0.55
     train
    -0.55
     altar
    -0.55
     compass
    -0.54
    POSITIVE LOGITS
     Similarly
    1.30
    Similarly
    1.27
     Likewise
    1.14
     Interestingly
    1.08
     Needless
    1.08
     Finally
    1.08
    Likewise
    1.07
     Lastly
    1.05
     Conversely
    1.03
     Anyway
    1.01
    Activations Density 0.963%

    No Known Activations