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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. 7-RES-JB
    11. 9000
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    Explanations

    information related to presentations and appearances at events

    oai_token-act-pair · gpt-3.5-turbo

    instances of people or entities involved in presenting or showing something

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    enment
    -0.85
    iddling
    -0.80
    iuses
    -0.78
    emic
    -0.73
     whiff
    -0.71
     mess
    -0.71
     misunderstanding
    -0.70
    reated
    -0.70
    ecd
    -0.70
     careless
    -0.69
    POSITIVE LOGITS
     tomorrow
    0.97
     2019
    0.87
     2021
    0.76
     concurrently
    0.73
     next
    0.72
     2018
    0.72
     hereafter
    0.69
     NEXT
    0.67
     2024
    0.67
     LIVE
    0.67
    Activations Density 0.702%

    No Known Activations