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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. 1646
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    phrases that describe various processes

    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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    Negative Logits
    ãĤ¤ãĥĪ
    -0.81
    stocks
    -0.72
    arna
    -0.70
     Spiegel
    -0.69
    fol
    -0.69
    burgh
    -0.66
    uggets
    -0.66
    uries
    -0.64
     Tribe
    -0.63
    abad
    -0.63
    POSITIVE LOGITS
     wors
    0.79
     indifference
    0.77
     inertia
    0.76
     upkeep
    0.76
     progress
    0.76
     silence
    0.75
     incarceration
    0.75
     permitting
    0.74
     inaction
    0.72
     escalate
    0.72
    Activations Density 0.261%

    No Known Activations