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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 2-RES-JB
    6. 8389
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    Explanations

    words related to support or opposition in a context of argument or conflict

    oai_token-act-pair · gpt-3.5-turbo

    instances of support and opposition in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    nces
    -0.79
     Masters
    -0.78
    GER
    -0.78
     Sins
    -0.74
    AMS
    -0.73
    SEA
    -0.73
     Citation
    -0.71
     Defenders
    -0.70
    APE
    -0.70
     Survivors
    -0.69
    POSITIVE LOGITS
     supp
    1.13
    lication
    1.04
    ressive
    1.02
    osition
    1.00
    resses
    0.93
    uration
    0.92
    onen
    0.90
    roxy
    0.85
    orter
    0.81
    entimes
    0.80
    Activations Density 0.013%

    No Known Activations