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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. 9-RES-JB
    11. 2223
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    Explanations

    combinations of items, such as different medications, types of food, or factors

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cott
    -0.86
    artisan
    -0.83
    iak
    -0.79
    otle
    -0.75
    yers
    -0.74
    gor
    -0.74
    den
    -0.74
    ÅĤ
    -0.73
    zbollah
    -0.72
    der
    -0.71
    POSITIVE LOGITS
     thereof
    1.10
     together
    0.73
     accelerator
    0.71
    ALLY
    0.70
     seamlessly
    0.68
     of
    0.67
     between
    0.65
     sexes
    0.64
     consisting
    0.63
    hesis
    0.62
    Activations Density 0.044%

    No Known Activations