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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. 11-RES-JB
    11. 23945
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    Explanations

    references to specific locations and events

    oai_token-act-pair · gpt-3.5-turbo

    elements related to sports events and activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ccording
    -1.31
     tremend
    -0.93
    everal
    -0.88
     coh
    -0.86
     arrang
    -0.84
     occas
    -0.84
     brill
    -0.81
    aditional
    -0.80
     seiz
    -0.79
     skelet
    -0.79
    POSITIVE LOGITS
     [[
    0.79
     ë
    0.70
     ...
    0.69
    0.69
     Monte
    0.68
    DAQ
    0.67
     Mitch
    0.66
     SolidGoldMagikarp
    0.65
     Medicare
    0.65
     FDA
    0.64
    Activations Density 0.103%

    No Known Activations