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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. 3-RES-JB
    11. 15272
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    Explanations

    the word "Beat" accompanied by a number indicating its significance

    oai_token-act-pair · gpt-3.5-turbo

    references to "Beatitudes" and related terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    OPLE
    -0.84
     obser
    -0.84
     mosqu
    -0.79
    nesota
    -0.75
     occas
    -0.72
    OTE
    -0.71
    assetsadobe
    -0.71
     unnecess
    -0.69
    asel
    -0.69
     airstrike
    -0.67
    POSITIVE LOGITS
    beat
    1.29
    rice
    1.18
    riz
    1.18
    rix
    1.16
    Beat
    1.08
    nik
    1.05
     Beat
    1.05
    down
    0.98
    ania
    0.95
    downs
    0.94
    Activations Density 0.019%

    No Known Activations