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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. 9-RES-JB
    11. 8723
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    Explanations

    phrases related to going against something or someone

    oai_token-act-pair · gpt-3.5-turbo

    references to opposition or conflict

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    milo
    -0.76
    DER
    -0.73
    deb
    -0.65
    estial
    -0.64
    ornia
    -0.63
     Address
    -0.62
    udes
    -0.62
    PU
    -0.62
    Dou
    -0.62
     addresses
    -0.62
    POSITIVE LOGITS
     backdrop
    1.92
     grain
    0.95
     odds
    0.89
     wishes
    0.88
     background
    0.88
     wall
    0.82
     tide
    0.78
     Grain
    0.77
     presumption
    0.76
     prejudice
    0.69
    Activations Density 0.155%

    No Known Activations