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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. 6778
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    Explanations

    words related to technology or objects commonly found in a workspace

    oai_token-act-pair · gpt-3.5-turbo

    references to 'dock' in the context of user interfaces or physical locations

    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
    Not in Any Lists

    No Comments

    Negative Logits
     Marketable
    -0.78
    ioch
    -0.70
     Afgh
    -0.70
    76561
    -0.67
     Notting
    -0.66
    ONSORED
    -0.65
    orically
    -0.65
     indo
    -0.63
     è£ıç
    -0.63
    zanne
    -0.62
    POSITIVE LOGITS
     dock
    1.17
    yard
    1.13
     docks
    1.11
     Dock
    0.97
    maid
    0.93
     docking
    0.92
    yards
    0.91
    workers
    0.86
    lands
    0.86
    backs
    0.85
    Activations Density 0.013%

    No Known Activations