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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. 1-RES-JB
    11. 13045
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    Explanations

    phrases related to business expenses or costs

    oai_token-act-pair · gpt-3.5-turbo

    references to overhead costs and expenses

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ulet
    -0.82
    eming
    -0.81
    ku
    -0.80
    nesia
    -0.78
    ifier
    -0.77
    ifying
    -0.75
    ony
    -0.71
    ifies
    -0.71
    onna
    -0.68
    ifiers
    -0.68
    POSITIVE LOGITS
     overhead
    1.57
     eleph
    0.91
    ¥ŀ
    0.89
     satell
    0.83
     proport
    0.78
     crane
    0.78
     hoops
    0.74
     lobe
    0.74
     stairs
    0.73
     challeng
    0.72
    Activations Density 0.005%

    No Known Activations