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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 2-RES-JB
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    Explanations

    the word "that"

    oai_token-act-pair · gpt-3.5-turbo

    the word "that" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĥ¼ãĥ³
    -0.52
    "],"
    -0.51
    æµ
    -0.51
    borg
    -0.50
     Champ
    -0.50
    ãĥĥãĥī
    -0.49
    ista
    -0.49
    ron
    -0.49
    Guard
    -0.48
    021
    -0.48
    POSITIVE LOGITS
     pesky
    0.77
    cher
    0.76
     fateful
    0.75
    chers
    0.65
    eatures
    0.58
     same
    0.58
    esson
    0.58
    advertisement
    0.58
    cius
    0.56
    ongyang
    0.56
    Activations Density 0.374%

    No Known Activations