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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. 8-RES-JB
    11. 10955
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    Explanations

    questions or phrases posing a query followed by a list of items or topics

    oai_token-act-pair · gpt-3.5-turbo

    phrases or structures that involve the phrase "what are the" followed by various subjects or inquiries

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cation
    -0.95
    icism
    -0.88
    iliation
    -0.86
    leness
    -0.86
    obook
    -0.83
    terness
    -0.82
    oire
    -0.79
    rency
    -0.79
    rower
    -0.78
    obia
    -0.74
    POSITIVE LOGITS
     moments
    1.07
     indications
    1.02
     truths
    1.00
     reminders
    1.00
     constants
    0.99
     exceptions
    0.98
     nods
    0.94
     examples
    0.93
     occasions
    0.92
    types
    0.92
    Activations Density 0.369%

    No Known Activations