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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. 8-RES-JB
    11. 10360
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    Explanations

    terms related to progress or events

    oai_token-act-pair · gpt-3.5-turbo

    references to recent events or changes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    asus
    -0.77
    lua
    -0.71
    odor
    -0.69
    OOOOOOOO
    -0.69
    mop
    -0.68
    leton
    -0.68
    uppet
    -0.67
    gee
    -0.66
    rolled
    -0.66
    bia
    -0.66
    POSITIVE LOGITS
     developments
    0.89
    hower
    0.86
     regarding
    0.86
     unfolding
    0.81
     pertaining
    0.80
     concerning
    0.79
     unfold
    0.79
     transpired
    0.77
     involving
    0.75
     relating
    0.72
    Activations Density 0.077%

    No Known Activations