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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. 6-RES-JB
    11. 15118
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    Explanations

    locations, specifically towns and cities

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "in" related to various contexts or settings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     incumb
    -0.75
     selves
    -0.72
     disapp
    -0.70
     sensations
    -0.68
     showc
    -0.64
     accordingly
    -0.64
    wx
    -0.64
    umbnails
    -0.64
     combatants
    -0.64
    omers
    -0.64
    POSITIVE LOGITS
    efficiency
    1.03
    patient
    0.94
    ordinate
    0.92
     conjunction
    0.88
    ked
    0.86
     disguise
    0.85
    animate
    0.84
     behalf
    0.82
     vitro
    0.82
     lieu
    0.81
    Activations Density 0.273%

    No Known Activations