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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. 22934
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    Explanations

    references to personal interactions and updates about individuals

    oai_token-act-pair · gpt-3.5-turbo

    references to individuals and their interactions

    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
     Critics
    -0.80
     Shutterstock
    -0.72
    Cooldown
    -0.72
    ishable
    -0.70
     vigilante
    -0.69
    Torrent
    -0.67
    inventoryQuantity
    -0.66
    utterstock
    -0.66
    BAT
    -0.66
    Critics
    -0.66
    POSITIVE LOGITS
     explained
    1.14
     inquired
    1.13
     thanked
    1.11
     reassured
    1.07
     told
    1.06
     assured
    1.05
     informed
    1.05
     politely
    1.04
     kindly
    1.04
     confessed
    1.04
    Activations Density 0.516%

    No Known Activations