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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. 4-RES-JB
    11. 20187
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    phrases related to saving money or costs

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate financial savings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    kt
    -0.63
    OTUS
    -0.63
     Ascend
    -0.61
    Hung
    -0.60
    naire
    -0.59
    FG
    -0.59
     Serbian
    -0.58
    xus
    -0.58
    rer
    -0.58
    pora
    -0.57
    POSITIVE LOGITS
    Save
    0.96
    anza
    0.76
     Saving
    0.76
    saving
    0.75
     luc
    0.73
    osit
    0.71
     save
    0.70
    usc
    0.69
    aret
    0.69
     saving
    0.67
    Activations Density 0.017%

    No Known Activations