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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. 18961
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    Explanations

    mentions of the word "seawater"

    oai_token-act-pair · gpt-3.5-turbo

    references to seawater and subway systems

    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
    nil
    -0.71
     expectancy
    -0.64
    wine
    -0.61
    grim
    -0.61
     Clancy
    -0.61
     vain
    -0.60
    ANG
    -0.60
     Wink
    -0.60
     Hav
    -0.59
     presiding
    -0.59
    POSITIVE LOGITS
    pai
    0.87
    ript
    0.77
    ream
    0.76
    raper
    0.72
    iped
    0.72
    esh
    0.71
    ews
    0.70
    ese
    0.70
    edu
    0.70
    eway
    0.69
    Activations Density 0.062%

    No Known Activations