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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 4444
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    Explanations

    countries and entities involved in diplomatic relationships or agreements

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns and significant entities in a context

    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
    •L9 resid features following 'and'

    No Comments

    Negative Logits
    tains
    -0.79
    Angelo
    -0.62
    mel
    -0.61
    :,
    -0.60
    SourceFile
    -0.59
     Stam
    -0.58
     ±
    -0.58
    / 
    -0.58
    tes
    -0.56
    âĶĢâĶĢâĶĢâĶĢ
    -0.56
    POSITIVE LOGITS
     alike
    1.67
     are
    1.31
     respectively
    1.29
     aren
    1.20
     were
    1.18
     weren
    1.12
     mutually
    1.04
     collide
    1.04
     jointly
    1.04
     have
    1.02
    Activations Density 0.364%

    No Known Activations