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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. 3747
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    Explanations

    quantities or statistics related to various groups or regions

    oai_token-act-pair · gpt-3.5-turbo
    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
    inventoryQuantity
    -0.81
    wcsstore
    -0.80
    ãĤ´ãĥ³
    -0.73
    asso
    -0.67
    gey
    -0.65
    Interstitial
    -0.64
    nikov
    -0.64
    ouf
    -0.62
     srfAttach
    -0.62
     emb
    -0.62
    POSITIVE LOGITS
     Britain
    1.00
     households
    0.96
     total
    0.96
     America
    0.93
    effic
    0.88
     Europe
    0.84
     Australia
    0.81
     England
    0.81
     OECD
    0.81
     2016
    0.80
    Activations Density 0.236%

    No Known Activations