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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. 0-RES-JB
    11. 4187
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    Explanations

    instances related to financial costs or expenditures

    oai_token-act-pair · gpt-3.5-turbo

    references to financial costs or expenditures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    wolves
    -0.68
     nodding
    -0.63
     connects
    -0.62
     Dreams
    -0.62
     lucid
    -0.60
    ados
    -0.59
    commun
    -0.59
     Ble
    -0.58
    JJ
    -0.58
     Novel
    -0.58
    POSITIVE LOGITS
     expense
    4.08
     expenses
    2.11
     expenditure
    1.59
     detriment
    1.48
     cost
    1.48
     costs
    1.43
     expenditures
    1.33
    cost
    1.15
     Costs
    1.14
    expensive
    1.13
    Activations Density 0.012%

    No Known Activations