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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. 10-RES-JB
    11. 1004
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    Explanations

    monetary values in various formats

    oai_token-act-pair · gpt-3.5-turbo

    monetary amounts or financial figures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     firsthand
    -0.67
     advoc
    -0.66
    grounds
    -0.59
     anch
    -0.59
     adherence
    -0.59
     behavi
    -0.58
     antioxid
    -0.58
    :(
    -0.57
     strugg
    -0.56
     unequiv
    -0.56
    POSITIVE LOGITS
    000
    1.79
    500
    1.52
    600
    1.31
    800
    1.29
    050
    1.28
    001
    1.25
    700
    1.24
    200
    1.22
    075
    1.21
    060
    1.20
    Activations Density 0.051%

    No Known Activations