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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. 3-RES-JB
    11. 4561
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    INDEX
    Explanations

    phrases related to excellence or uniqueness

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of exceptionalism

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    burn
    -0.68
     Station
    -0.67
    SN
    -0.65
    auer
    -0.64
    roller
    -0.63
    walk
    -0.62
     Loaded
    -0.62
    prefix
    -0.62
    GH
    -0.61
    worn
    -0.60
    POSITIVE LOGITS
     exceptional
    1.05
    ordinary
    0.97
    istically
    0.97
    imes
    0.94
     talents
    0.87
    ists
    0.86
    ities
    0.84
    ism
    0.82
     circumstance
    0.81
    ties
    0.79
    Activations Density 0.009%

    No Known Activations