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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. 10382
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    Explanations

    information related to budget cuts and reductions in services or funding

    oai_token-act-pair · gpt-3.5-turbo

    references to budget cuts

    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
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    No Comments

    Negative Logits
    theless
    -0.83
    Registered
    -0.69
    âĸ¬
    -0.69
    âĸ¬âĸ¬
    -0.65
     Wem
    -0.62
     Gors
    -0.61
    Purchase
    -0.60
     suspic
    -0.60
     Refresh
    -0.59
     Latter
    -0.58
    POSITIVE LOGITS
    backs
    1.26
    thro
    1.12
    scenes
    0.93
    back
    0.89
     inflicted
    0.86
     cuts
    0.86
     reductions
    0.86
    jobs
    0.83
     slashed
    0.82
    scene
    0.82
    Activations Density 0.035%

    No Known Activations