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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. 3-RES-JB
    11. 2848
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    Explanations

    phrases related to connections or associations between different entities

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating connections or relationships between entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ende
    -0.76
    Cola
    -0.72
    provided
    -0.71
    aver
    -0.70
    vier
    -0.68
    icer
    -0.67
    raq
    -0.67
    tun
    -0.66
     convol
    -0.66
    STAT
    -0.65
    POSITIVE LOGITS
     kindred
    0.75
     subsistence
    0.72
     Boh
    0.67
    âĨij
    0.67
     Taiwanese
    0.63
     Bohem
    0.62
     Frankfurt
    0.62
     Japanese
    0.61
    site
    0.60
     Scotch
    0.60
    Activations Density 0.244%

    No Known Activations