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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. 6-RES-JB
    11. 3112
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    Explanations

    specific nouns related to groups or categories

    oai_token-act-pair · gpt-3.5-turbo

    terms related to categories and entities in social structures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Stage
    -0.63
    BG
    -0.61
     Palestin
    -0.61
     Arrows
    -0.60
     Strat
    -0.60
     Contracts
    -0.59
     contrace
    -0.59
    ogens
    -0.59
    nance
    -0.59
    aeda
    -0.58
    POSITIVE LOGITS
     apiece
    0.86
    undred
    0.69
    inkle
    0.67
    anooga
    0.66
     parcel
    0.66
    hander
    0.65
    paio
    0.64
     accuser
    0.64
     stroke
    0.63
    stroke
    0.62
    Activations Density 0.155%

    No Known Activations