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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. 5004
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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
    isions
    -0.81
    ð
    -0.80
    ·
    -0.80
    ombat
    -0.78
    igraph
    -0.77
    ipl
    -0.77
    esp
    -0.76
    Act
    -0.75
    ¨
    -0.74
    SP
    -0.74
    POSITIVE LOGITS
     gonna
    1.12
     gotten
    1.07
     been
    1.04
     gotta
    0.98
    been
    0.94
     done
    0.92
     gone
    0.89
     Been
    0.88
     got
    0.87
     going
    0.84
    Activations Density 0.189%

    No Known Activations