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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. 9-RES-JB
    11. 24307
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    Explanations

    noun phrases related to business or commerce

    oai_token-act-pair · gpt-3.5-turbo

    nouns and terms related to commerce and transaction

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot

    certain words following " and"

    Explanation Uploaded by User
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    izon
    -0.67
    ahu
    -0.66
    Reloaded
    -0.64
    ModLoader
    -0.63
    Ĥİ
    -0.62
    urtles
    -0.61
    ORN
    -0.59
    1080
    -0.59
    ippi
    -0.58
    weeney
    -0.57
    POSITIVE LOGITS
     alike
    1.21
     versa
    1.00
     thereof
    0.97
     combo
    0.88
     respectively
    0.85
     thereto
    0.80
     accessories
    0.79
     apparatus
    0.77
     accordingly
    0.76
     contents
    0.75
    Activations Density 0.398%

    No Known Activations