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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 22227
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    Explanations

    phrases related to financial transactions, particularly involving the exchange of large sums of money

    oai_token-act-pair · gpt-3.5-turbo

    monetary values and terms related to pricing

    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
     Pend
    -0.68
     dialect
    -0.66
     Branch
    -0.65
    dayName
    -0.64
    redd
    -0.63
     Idle
    -0.61
     Ange
    -0.60
    imore
    -0.60
    mingham
    -0.60
    ells
    -0.60
    POSITIVE LOGITS
    -$
    1.31
     (£
    1.29
     ($
    1.29
     payout
    1.11
    ($
    1.08
    =$
    1.07
     upfront
    1.04
     sums
    1.02
    /$
    1.02
     repaid
    1.02
    Activations Density 0.175%

    No Known Activations