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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. 11548
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    Explanations

    descriptions of being the first in a specific category or achieving a milestone

    oai_token-act-pair · gpt-3.5-turbo

    instances of "first" or "second" in contexts of achievement or milestones

    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
    matter
    -0.75
    beh
    -0.74
    luaj
    -0.71
    inventoryQuantity
    -0.69
    Appearance
    -0.68
    love
    -0.66
    apt
    -0.66
    des
    -0.64
    development
    -0.63
    lag
    -0.63
    POSITIVE LOGITS
     Britons
    0.81
     beneficiaries
    0.81
     recipient
    0.79
     beneficiary
    0.78
     casualty
    0.77
     eligible
    0.71
     recipients
    0.69
     finalists
    0.68
     semif
    0.67
    aepernick
    0.67
    Activations Density 0.100%

    No Known Activations