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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. 8-RES-JB
    11. 10315
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    Explanations

    mentions or references to think tanks

    oai_token-act-pair · gpt-3.5-turbo

    references to think tanks

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cffffcc
    -0.71
    HAM
    -0.69
    EStreamFrame
    -0.66
     ejected
    -0.65
     {*
    -0.63
    lain
    -0.60
     Summoner
    -0.59
     disembark
    -0.59
    theless
    -0.57
     servicing
    -0.57
    POSITIVE LOGITS
    tank
    0.92
    sect
    0.87
    atorial
    0.81
    ative
    0.81
    erb
    0.81
    osphere
    0.81
    progress
    0.81
    ribune
    0.80
    orial
    0.80
    atively
    0.77
    Activations Density 0.048%

    No Known Activations