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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. 2-RES-JB
    11. 1039
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    Explanations

    proper nouns related to technology companies and products

    oai_token-act-pair · gpt-3.5-turbo

    brands and influential figures in the film and technology industries

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    RAFT
    -0.77
    в
    -0.72
    ãģ¦
    -0.70
     Surgery
    -0.70
     Tayyip
    -0.70
     NETWORK
    -0.68
    л
    -0.67
    ãĤī
    -0.67
    sburgh
    -0.67
     Bakr
    -0.67
    POSITIVE LOGITS
     Lum
    1.14
    osity
    1.05
    inary
    0.99
    ifer
    0.84
    atts
    0.81
     Lumin
    0.79
    iven
    0.79
    cipled
    0.79
    istries
    0.78
     gobl
    0.78
    Activations Density 0.014%

    No Known Activations