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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. 4858
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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
    enstein
    -0.89
    lio
    -0.88
    inn
    -0.85
    estamp
    -0.79
    bones
    -0.78
    士
    -0.78
    enment
    -0.74
    arus
    -0.74
    aldi
    -0.73
    offer
    -0.71
    POSITIVE LOGITS
     surrounding
    0.99
     bounded
    0.92
     area
    0.84
     frequ
    0.82
     encomp
    0.80
     adjacent
    0.80
     rug
    0.79
     around
    0.77
     nearest
    0.76
     inhabited
    0.76
    Activations Density 0.052%

    No Known Activations