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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. 9665
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    references to legal or governmental contexts

    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
     proble
    -0.84
    catentry
    -0.81
    ãĢį
    -0.78
    VERTISEMENT
    -0.72
    )."
    -0.71
    .ãĢį
    -0.68
    \">
    -0.68
     EMS
    -0.66
    .","
    -0.64
    GROUND
    -0.64
    POSITIVE LOGITS
     neocons
    0.89
     liberals
    0.86
     Communists
    0.86
     Stalin
    0.83
     centrist
    0.80
     socialists
    0.79
     intellectuals
    0.78
     conservatives
    0.77
     progressives
    0.77
     conservatism
    0.77
    Activations Density 1.505%

    No Known Activations