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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. 9-RES-JB
    11. 19393
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    Explanations

    locations or places

    oai_token-act-pair · gpt-3.5-turbo

    references to personal experiences and locations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     wielded
    -0.83
    rous
    -0.78
     Caption
    -0.76
    Images
    -0.71
     inscribed
    -0.70
    antine
    -0.70
    ciples
    -0.70
     objects
    -0.68
     projectiles
    -0.68
     attributes
    -0.65
    POSITIVE LOGITS
     haha
    1.00
     NYC
    0.99
     my
    0.96
     shitty
    0.93
     Philly
    0.92
    cember
    0.90
     fuckin
    0.89
    inav
    0.89
     LA
    0.88
     town
    0.87
    Activations Density 0.537%

    No Known Activations