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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. 7-RES-JB
    11. 5004
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    Explanations

    references to mines

    oai_token-act-pair · gpt-3.5-turbo

    references to mines and mining-related terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Beg
    -0.84
    hips
    -0.78
    ITY
    -0.70
     thous
    -0.67
     Polk
    -0.66
    Madison
    -0.64
    ournal
    -0.62
     Redmond
    -0.62
    LY
    -0.62
     Strait
    -0.61
    POSITIVE LOGITS
    cart
    1.24
    field
    1.10
    opia
    1.08
    craft
    1.05
    fields
    1.01
    FactoryReloaded
    0.92
     shaft
    0.85
    mine
    0.82
    lect
    0.81
    folk
    0.79
    Activations Density 0.015%

    No Known Activations