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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. 4-RES-JB
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    Explanations

    mentions of financial expenditures

    oai_token-act-pair · gpt-3.5-turbo

    terms related to monetary spending and financial outlays

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

    No Comments

    Negative Logits
     Ryder
    -0.83
    Oracle
    -0.80
     Moj
    -0.66
    sell
    -0.65
    ger
    -0.65
     Marble
    -0.63
    cell
    -0.62
    redd
    -0.61
     Angry
    -0.60
    amy
    -0.59
    POSITIVE LOGITS
     expenditure
    1.07
    itures
    1.05
     Expend
    0.96
     expenditures
    0.95
    ptives
    0.85
    ments
    0.84
     incurred
    0.80
     expended
    0.79
    ptions
    0.79
     wastes
    0.77
    Activations Density 0.015%

    No Known Activations