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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. 2539
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    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
    anon
    -0.64
    inator
    -0.61
     Osw
    -0.61
    ãģ®å®
    -0.58
    yna
    -0.57
    onica
    -0.56
    ophile
    -0.55
    ize
    -0.54
     Barnett
    -0.54
    omin
    -0.53
    POSITIVE LOGITS
    ked
    0.76
    ilities
    0.67
    ths
    0.66
    cules
    0.64
    thood
    0.62
    BLE
    0.62
    ered
    0.61
    riers
    0.60
    kish
    0.60
    ves
    0.60
    Activations Density 0.232%

    No Known Activations