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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. 18547
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    Explanations

    names and terms related to individuals or entities, potentially focusing on situations or interactions

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns and names, particularly those related to individuals and entities

    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
     responsiveness
    -0.70
    ãĤ´ãĥ³
    -0.68
     envy
    -0.66
    nington
    -0.62
    ĵĺ
    -0.62
     orphans
    -0.61
     fries
    -0.60
     neutrality
    -0.60
     reins
    -0.58
     defense
    -0.58
    POSITIVE LOGITS
    pora
    1.05
    nih
    0.95
    andowski
    0.92
    ritical
    0.80
    onds
    0.79
    asio
    0.79
    ij士
    0.76
    tl
    0.76
    weekly
    0.75
    anton
    0.71
    Activations Density 0.095%

    No Known Activations