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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. 1771
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    Explanations

    phrases related to selling or transactions involving goods or services

    oai_token-act-pair · gpt-3.5-turbo

    references to ownership and transactions involving goods or assets

    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
    INO
    -0.74
    iration
    -0.67
    Tip
    -0.63
    ARGET
    -0.63
    dding
    -0.63
    orney
    -0.62
    WORK
    -0.62
    cone
    -0.61
    boxing
    -0.61
    PATH
    -0.60
    POSITIVE LOGITS
     commodities
    1.00
     surplus
    0.95
     tickets
    0.94
     goods
    0.94
     cheaply
    0.89
     coupons
    0.85
     commodity
    0.84
     DVDs
    0.83
     CDs
    0.81
     paperback
    0.80
    Activations Density 0.160%

    No Known Activations