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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. 4-RES-JB
    11. 23985
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    Explanations

    words related to conflict or opposition

    oai_token-act-pair · gpt-3.5-turbo

    terms related to conflict and opposition

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

    No Comments

    Negative Logits
    Stone
    -0.78
     Rocks
    -0.76
     Leopard
    -0.69
    Hart
    -0.68
    Redditor
    -0.68
    glass
    -0.67
     Sandy
    -0.66
    Glass
    -0.65
     Climate
    -0.65
    Dust
    -0.64
    POSITIVE LOGITS
     agon
    1.05
    irlf
    0.95
     sidel
    0.89
    terness
    0.81
     inhibitor
    0.79
     inhibitors
    0.78
    hetical
    0.77
    atos
    0.77
    emies
    0.77
    xiety
    0.76
    Activations Density 0.034%

    No Known Activations