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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. 10-RES-JB
    11. 12800
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    Explanations

    monetary values or amounts, particularly in the context of budgets, costs, or earnings

    oai_token-act-pair · gpt-3.5-turbo

    quantities of money associated with timeframes, specifically years and months

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    actionDate
    -0.79
    pty
    -0.70
    achus
    -0.68
    rities
    -0.65
    ropy
    -0.63
    itialized
    -0.62
    hod
    -0.59
    abama
    -0.59
    Ire
    -0.59
    ENE
    -0.58
    POSITIVE LOGITS
     thereafter
    0.94
     compounded
    0.76
     apiece
    0.74
     ($
    0.74
    /$
    0.73
     (£
    0.72
     ago
    0.71
     (~
    0.70
    âĪĴ
    0.69
    ²
    0.68
    Activations Density 0.062%

    No Known Activations