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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. 20129
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    Explanations

    proper nouns related to people, places, or titles

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names of characters or entities

    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
     referen
    -0.81
    ischer
    -0.78
    matically
    -0.76
    qualified
    -0.70
     skilled
    -0.69
    bably
    -0.67
    facing
    -0.66
     knowledgeable
    -0.66
     notor
    -0.65
     veter
    -0.65
    POSITIVE LOGITS
     Productions
    1.29
     Syndrome
    1.20
     Brewing
    1.16
     Studios
    1.13
     Pictures
    1.05
     Brewery
    1.02
     Records
    1.01
     Initiative
    1.00
     Technologies
    0.98
     Theory
    0.96
    Activations Density 0.404%

    No Known Activations