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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. 2-RES-JB
    11. 12305
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    Explanations

    keywords related to costs and expenses

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of cost

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    vironment
    -0.92
    uberty
    -0.77
     Breed
    -0.77
    jong
    -0.73
    pload
    -0.73
     BST
    -0.71
    catentry
    -0.71
     Pur
    -0.70
     Nether
    -0.69
     Cinnamon
    -0.69
    POSITIVE LOGITS
    umed
    1.05
    liest
    0.91
    umers
    0.89
     prohib
    0.85
    umes
    0.84
     cost
    0.82
     incurred
    0.82
     costs
    0.82
     reimbursement
    0.81
     reimburse
    0.78
    Activations Density 0.029%

    No Known Activations