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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. 4916
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    Explanations

    financial terms, such as company names and financial product names

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns related to financial services and technology

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
    Not in Any Lists

    No Comments

    Negative Logits
    actionDate
    -0.85
    ãĤ©
    -0.79
    GBT
    -0.76
    rar
    -0.70
    VALUE
    -0.69
    DEN
    -0.68
    ãĤ¤ãĥĪ
    -0.67
    GGGGGGGG
    -0.67
    æ³
    -0.66
    tackle
    -0.66
    POSITIVE LOGITS
    âĦ¢
    0.88
    ®,
    0.86
     ®
    0.84
    ®
    0.81
     Foundation
    0.74
     Presents
    0.74
    âĦ¢:
    0.74
    's
    0.73
     Ltd
    0.71
     ,
    0.68
    Activations Density 0.317%

    No Known Activations