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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. 7-RES-JB
    11. 14493
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    Explanations

    numerical references with brackets indicating a source or citation

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    awaru
    -0.90
     Lumpur
    -0.71
    azel
    -0.69
    orative
    -0.65
    usalem
    -0.65
    apon
    -0.65
    espie
    -0.64
    igne
    -0.64
    opy
    -0.63
    ellow
    -0.63
    POSITIVE LOGITS
    st
    1.40
    125
    1.11
    Password
    1.08
    120
    1.07
    000000
    1.04
    128
    0.94
    0000000
    0.87
    123
    0.82
    âģ
    0.81
    GB
    0.77
    Activations Density 0.100%

    No Known Activations