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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. 9-RES-JB
    11. 13855
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    Explanations

    phrases related to physical barriers or obstructions

    oai_token-act-pair · gpt-3.5-turbo

    references to obstacles or barriers preventing movement or action

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Sutherland
    -0.68
     prest
    -0.66
     Saban
    -0.65
    Ĥİ
    -0.64
    çĶ°
    -0.63
    PLA
    -0.62
     sqor
    -0.61
     bonded
    -0.60
    framework
    -0.59
    iggurat
    -0.58
    POSITIVE LOGITS
     entrances
    1.08
     entrance
    1.02
     access
    1.01
     accessing
    0.90
     ability
    0.88
     transmissions
    0.88
     exits
    0.87
     Entry
    0.86
     entry
    0.86
     doorway
    0.83
    Activations Density 0.522%

    No Known Activations