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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. 7248
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    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
     Onion
    -0.65
     Guilty
    -0.63
    rets
    -0.61
    ãĥĩ
    -0.58
     pressing
    -0.57
    ient
    -0.57
    iesta
    -0.57
     lucky
    -0.56
     eyeing
    -0.55
     rash
    -0.55
    POSITIVE LOGITS
     undergo
    0.87
     be
    0.86
     occur
    0.83
     accommodate
    0.81
     satisfy
    0.80
     overcome
    0.78
     encompass
    0.77
    angler
    0.76
     conform
    0.76
    wered
    0.76
    Activations Density 0.141%

    No Known Activations