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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. 10-RES-JB
    11. 4877
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    major cities around the world and tech hubs

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    xual
    -0.84
     IPM
    -0.79
    shield
    -0.77
     facult
    -0.75
     stripe
    -0.75
    idae
    -0.74
    attribute
    -0.72
     bip
    -0.70
    potion
    -0.69
    birds
    -0.69
    POSITIVE LOGITS
     Frankfurt
    1.49
     Los
    1.48
     Shanghai
    1.48
     Paris
    1.48
     London
    1.44
     Seoul
    1.42
     Tokyo
    1.40
     Cairo
    1.39
     Beirut
    1.39
     Madrid
    1.39
    Activations Density 0.209%

    No Known Activations