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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. 7-RES-JB
    11. 8999
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    Explanations

    phrases related to oil and gas industry terms

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating financial loss or unprofitability

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     whilst
    -1.14
    Firstly
    -0.90
     Whilst
    -0.87
     realise
    -0.84
    ÙĪ
    -0.82
    !".
    -0.81
    Âł
    -0.78
     cunt
    -0.78
    ".[
    -0.77
     recognise
    -0.75
    POSITIVE LOGITS
     nonprofits
    1.08
     statewide
    0.92
     nonprofit
    0.89
     DOE
    0.86
     Grassley
    0.83
     UW
    0.82
     DeVos
    0.81
     Spokane
    0.81
     Asheville
    0.81
     Delaware
    0.80
    Activations Density 1.952%

    No Known Activations