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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. 13988
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    Explanations

    adjectives and phrases related to the world and large-scale events

    oai_token-act-pair · gpt-3.5-turbo

    phrases centered around the concept of "the world" and its state or conditions

    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
    tein
    -0.88
     Removal
    -0.78
     caut
    -0.66
     persistence
    -0.64
     incent
    -0.62
    Boss
    -0.62
    ño
    -0.61
    oyal
    -0.61
    ï¸ı
    -0.61
    lees
    -0.59
    POSITIVE LOGITS
     revolves
    0.88
    wake
    0.88
    Thumbnail
    0.86
    ankind
    0.75
     darkened
    0.72
    warming
    0.71
     tremb
    0.70
    views
    0.69
     unfolded
    0.68
     reckoning
    0.67
    Activations Density 0.469%

    No Known Activations