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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 20725
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    INDEX
    Explanations

    phrases or words related to ongoing processes or activities

    oai_token-act-pair · gpt-3.5-turbo

    articles and prepositions in various contexts

    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
     Examples
    -0.84
    coins
    -0.72
    displayText
    -0.71
    notes
    -0.71
    Edit
    -0.70
    marks
    -0.70
    Examples
    -0.70
     Annotations
    -0.70
     Extension
    -0.69
    instance
    -0.69
    POSITIVE LOGITS
     nascent
    1.12
     burgeoning
    1.12
     resurg
    1.09
     stagnant
    1.06
     multitude
    1.05
     plethora
    1.05
     decaying
    1.05
     thriving
    1.04
     vibrant
    1.02
     turbulent
    1.02
    Activations Density 0.451%

    No Known Activations