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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. 3337
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    Explanations

    words related to mining activities or equipment

    oai_token-act-pair · gpt-3.5-turbo

    references to mining and mine-related activities

    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
    lihood
    -0.71
    olic
    -0.68
     Dragonbound
    -0.66
     Styles
    -0.66
     Beg
    -0.64
    adoes
    -0.63
    reads
    -0.63
    resy
    -0.61
    estinal
    -0.60
    iott
    -0.58
    POSITIVE LOGITS
    cart
    0.96
    FactoryReloaded
    0.93
    mining
    0.92
     mining
    0.85
     mined
    0.83
     ore
    0.82
    hill
    0.82
     shaft
    0.81
     miner
    0.81
    craft
    0.80
    Activations Density 0.049%

    No Known Activations