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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. 3299
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    Explanations

    names of specific individuals

    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
     AAA
    -0.66
     Victorian
    -0.66
     hover
    -0.63
    âĶĢâĶĢ
    -0.62
     litter
    -0.62
     proto
    -0.62
     fragmented
    -0.62
     Highlander
    -0.61
     Cerberus
    -0.61
     Aboriginal
    -0.60
    POSITIVE LOGITS
    inski
    1.12
    insky
    1.10
    auer
    1.08
    ucci
    1.06
    ahl
    1.05
    enson
    1.05
    assi
    1.05
    zel
    1.04
    iani
    1.03
    ettel
    1.02
    Activations Density 0.341%

    No Known Activations