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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. 4-RES-JB
    11. 7357
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    Explanations

    specific blocks on city streets or neighborhoods

    oai_token-act-pair · gpt-3.5-turbo

    references to specific geographic locations or blocks

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     Thrust
    -0.65
    emic
    -0.60
    brates
    -0.60
    egal
    -0.58
     Stress
    -0.58
     Akin
    -0.58
     Lect
    -0.58
     Balls
    -0.58
    ISM
    -0.57
     Answers
    -0.57
    POSITIVE LOGITS
    busters
    0.98
    aded
    0.94
    buster
    0.89
    ages
    0.86
    ades
    0.85
    yards
    0.81
    folio
    0.79
    jer
    0.78
     block
    0.77
    quote
    0.75
    Activations Density 0.012%

    No Known Activations