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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. 0-RES-JB
    11. 13559
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    Explanations

    phrases related to a specific concept or action ("Through")

    oai_token-act-pair · gpt-3.5-turbo

    the word "Through" followed by various contexts or actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     default
    -0.79
     apparently
    -0.70
     opinion
    -0.69
     disqual
    -0.68
     defaults
    -0.66
     pund
    -0.63
     riot
    -0.62
     complaining
    -0.62
     caution
    -0.62
     leave
    -0.61
    POSITIVE LOGITS
     Through
    3.25
    Through
    3.06
    through
    1.79
     thru
    1.49
     through
    1.39
     Together
    1.38
     Along
    1.38
     Throughout
    1.35
     Into
    1.34
     Across
    1.31
    Activations Density 0.023%

    No Known Activations