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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 8669
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    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
    tered
    -0.84
    ibles
    -0.80
    olen
    -0.78
    wered
    -0.75
    lished
    -0.75
    imates
    -0.74
    imus
    -0.72
    upon
    -0.71
     Colt
    -0.70
    plin
    -0.69
    POSITIVE LOGITS
     correctness
    1.41
     upheaval
    1.07
     instability
    0.99
     turmoil
    0.98
     uphe
    0.94
     leaders
    0.92
     clout
    0.91
     stability
    0.89
     prisoners
    0.89
     parties
    0.89
    Activations Density 0.036%

    No Known Activations