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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. 2-RES-JB
    11. 6455
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    Explanations

    information or actions that are explicitly called out or targeted

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ulton
    -0.78
    anon
    -0.74
     Tycoon
    -0.72
    lyn
    -0.71
     Isles
    -0.69
    ocene
    -0.67
    Sad
    -0.66
     Lauder
    -0.64
     Yor
    -0.63
    IAN
    -0.63
    POSITIVE LOGITS
     tailored
    1.13
     targeted
    0.93
     exempted
    0.91
     identifiable
    0.89
    cedented
    0.84
     targeting
    0.84
     customized
    0.83
     formulated
    0.81
     tuned
    0.81
     programmed
    0.80
    Activations Density 0.009%

    No Known Activations