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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. 6158
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    Explanations

    financial numbers and terms

    oai_token-act-pair · gpt-3.5-turbo

    financial terms and figures related to spending and budgets

    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
    iverse
    -0.70
     SHARES
    -0.67
    WAR
    -0.66
    hei
    -0.65
    SHARE
    -0.65
     Turns
    -0.62
    Imagine
    -0.62
    models
    -0.60
    literally
    -0.60
    assetsadobe
    -0.59
    POSITIVE LOGITS
     remainder
    1.23
     additional
    1.03
     exceptions
    1.03
     optional
    1.03
     thereafter
    1.02
     remaining
    0.99
     caveat
    0.98
     exception
    0.93
     rest
    0.93
     corresponding
    0.90
    Activations Density 0.428%

    No Known Activations