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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. 16553
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    INDEX
    Explanations

    words related to financial terms and transactions, particularly focusing on terms related to company shares and stakes

    oai_token-act-pair · gpt-3.5-turbo

    references to shares and shareholder-related concepts

    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
     reper
    -0.75
    anwhile
    -0.71
     Rohing
    -0.70
     Honor
    -0.65
     compr
    -0.63
     skelet
    -0.61
     cumbers
    -0.61
     streng
    -0.60
    usalem
    -0.60
     Petersen
    -0.59
    POSITIVE LOGITS
    cro
    1.28
    holder
    1.26
    holding
    1.20
    holders
    1.20
    ership
    1.02
    hold
    0.97
    owners
    0.89
    hare
    0.86
    fair
    0.85
    busters
    0.85
    Activations Density 0.043%

    No Known Activations