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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. 2-RES-JB
    11. 15114
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    Explanations

    words related to interest or being interested in something

    oai_token-act-pair · gpt-3.5-turbo

    expressions of interest or curiosity

    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
    mit
    -0.66
    ework
    -0.65
    car
    -0.63
    é¾į
    -0.63
    pler
    -0.63
    enberg
    -0.62
     shortened
    -0.61
    apple
    -0.61
     Bom
    -0.60
    stood
    -0.60
    POSITIVE LOGITS
     interested
    0.99
     Interest
    0.93
     buyers
    0.81
     warr
    0.81
     curiosity
    0.75
     onlook
    0.75
     incorpor
    0.73
     interest
    0.73
    awaru
    0.73
    inois
    0.72
    Activations Density 0.018%

    No Known Activations