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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. 1-RES-JB
    11. 2404
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    INDEX
    Explanations

    phrases related to showing interest or curiosity in various topics or activities

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of interest or being engaged in something

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    overs
    -0.65
     Bom
    -0.63
    ework
    -0.61
    Arm
    -0.60
     crumbling
    -0.59
    pl
    -0.59
    heim
    -0.59
    car
    -0.59
    mt
    -0.59
    pmwiki
    -0.59
    POSITIVE LOGITS
     interested
    1.18
     incorpor
    0.92
     Interest
    0.91
     buyers
    0.86
     minded
    0.83
     onlook
    0.82
    awaru
    0.81
     citiz
    0.80
     curiosity
    0.79
    inois
    0.78
    Activations Density 0.011%

    No Known Activations