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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. 21613
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    Explanations

    phrases or words related to things that are out of the ordinary or exceptional

    oai_token-act-pair · gpt-3.5-turbo

    descriptors related to uniqueness or rarity in various contexts

    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
    Not in Any Lists

    No Comments

    Negative Logits
    elsen
    -0.79
    uel
    -0.74
    Ķ
    -0.72
    rio
    -0.71
    claimer
    -0.71
    ruction
    -0.68
    ieu
    -0.65
    burgh
    -0.65
    onest
    -0.64
    igate
    -0.64
    POSITIVE LOGITS
    ities
    0.98
     circumstances
    0.94
    worldly
    0.93
     occurrences
    0.92
    ties
    0.80
    ITIES
    0.78
     circumstance
    0.78
    ity
    0.77
    ordinary
    0.75
    ional
    0.73
    Activations Density 0.065%

    No Known Activations