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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. 7-RES-JB
    11. 17818
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    Explanations

    company names preceded by "As"

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate a temporal context or transitions in the narrative

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    uminati
    -0.78
    etsy
    -0.72
    ̶
    -0.70
     Subtle
    -0.67
    lip
    -0.67
     EVERY
    -0.62
     amen
    -0.62
    fuck
    -0.61
     Divinity
    -0.60
    ortal
    -0.59
    POSITIVE LOGITS
    sequently
    0.87
    ogether
    0.87
     Ago
    0.81
    sequent
    0.79
    quartered
    0.73
    cknowled
    0.72
    oÄŁ
    0.71
    ONSORED
    0.69
     meanwhile
    0.69
    mates
    0.68
    Activations Density 0.426%

    No Known Activations