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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. 13084
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    Explanations

    verbs expressing the idea of demonstrating or confirming something

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate proof or confirmation of a statement or event

    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
    arta
    -0.74
    quartered
    -0.71
    panel
    -0.71
    abases
    -0.70
    ulkan
    -0.70
    together
    -0.70
    idia
    -0.69
    frames
    -0.69
    ylum
    -0.68
    */(
    -0.67
    POSITIVE LOGITS
     fruitful
    1.11
     invaluable
    1.09
     elusive
    0.97
     decisive
    0.97
     useful
    0.96
     ineffective
    0.95
     costly
    0.95
     irresistible
    0.94
     helpful
    0.92
     beneficial
    0.92
    Activations Density 0.102%

    No Known Activations