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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. 17369
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    Explanations

    mentions of food items commonly served at gatherings or events

    oai_token-act-pair · gpt-3.5-turbo

    references to muffins and individuals associated with particular names

    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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    No Comments

    Negative Logits
    ology
    -0.77
     bondage
    -0.76
    imus
    -0.75
    oteric
    -0.74
    opter
    -0.70
    pex
    -0.70
    riors
    -0.67
    ãĥ¥
    -0.65
    condition
    -0.64
    chnology
    -0.64
    POSITIVE LOGITS
    eneg
    0.88
    imentary
    0.83
    atin
    0.79
    iant
    0.77
    enburg
    0.75
    uce
    0.75
    assetsadobe
    0.74
    eco
    0.73
    adel
    0.72
    dies
    0.72
    Activations Density 0.013%

    No Known Activations