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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. 11578
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    Explanations

    words related to different aspects or sides of topics

    oai_token-act-pair · gpt-3.5-turbo

    references to different aspects or sides of various topics

    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
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    No Comments

    Negative Logits
    urated
    -0.80
    arus
    -0.78
    redo
    -0.73
    reditary
    -0.71
    astical
    -0.71
    verbs
    -0.70
    ruary
    -0.68
    ryn
    -0.66
    incinn
    -0.66
    forestation
    -0.65
    POSITIVE LOGITS
     thereof
    0.68
     stage
    0.66
    naires
    0.60
     Mek
    0.60
     of
    0.58
    umption
    0.57
    atics
    0.57
     stages
    0.57
     CTRL
    0.57
    ials
    0.57
    Activations Density 0.237%

    No Known Activations