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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. 3075
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    Explanations

    phrases related to business and companies

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "firms" and related corporate entities

    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
     Maw
    -0.78
    lihood
    -0.73
    66666666
    -0.69
     Died
    -0.69
     [|
    -0.68
     scratch
    -0.67
     Viz
    -0.67
     Mass
    -0.66
    rawdownloadcloneembedreportprint
    -0.65
    byss
    -0.64
    POSITIVE LOGITS
     firms
    1.16
     outsourcing
    0.90
     firm
    0.79
     giants
    0.78
     enterprises
    0.77
     footing
    0.77
    orpor
    0.77
    irms
    0.76
    anto
    0.75
    linger
    0.75
    Activations Density 0.017%

    No Known Activations