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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. 9536
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    oai_token-act-pair · gpt-3.5-turbo

    phrases related to financial costs and expenditures

    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
    soType
    -0.83
    arding
    -0.75
    ARDS
    -0.75
    TextColor
    -0.71
    ixture
    -0.69
    xual
    -0.69
    ndra
    -0.68
    odox
    -0.67
    PLA
    -0.66
    ilit
    -0.64
    POSITIVE LOGITS
     dearly
    0.96
     upkeep
    0.95
     taxpayers
    0.87
    £
    0.83
     upfront
    0.82
    -$
    0.81
     USD
    0.80
    $$
    0.80
     (£
    0.80
    USD
    0.79
    Activations Density 0.124%

    No Known Activations