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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. 1592
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    Explanations

    proper nouns related to university names and locations

    oai_token-act-pair · gpt-3.5-turbo

    references to certain individuals' names

    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
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    Negative Logits
     Ã
    -0.70
     Austria
    -0.63
     Bitcoin
    -0.61
     ATM
    -0.60
     slot
    -0.60
     REG
    -0.59
     Ãĸ
    -0.58
     Greatest
    -0.58
     slots
    -0.57
     Maximum
    -0.57
    POSITIVE LOGITS
    yon
    4.94
    yton
    1.67
    yang
    1.60
    yu
    1.59
    yah
    1.54
    yan
    1.52
    ython
    1.40
    yne
    1.40
    yg
    1.30
    yout
    1.29
    Activations Density 0.021%

    No Known Activations