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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 21381
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    Explanations

    details related to education, medical treatment, and societal issues

    oai_token-act-pair · gpt-3.5-turbo

    issues related to funding and resource allocation in public services

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
    ortium
    -0.74
     unden
    -0.54
    assador
    -0.54
    \\\\\\\\
    -0.52
     rul
    -0.52
     Wem
    -0.51
    ilogy
    -0.51
    eous
    -0.51
     proponent
    -0.51
    ividual
    -0.49
    POSITIVE LOGITS
    their
    1.20
     their
    1.09
    Their
    0.95
    They
    0.93
     THEIR
    0.93
     they
    0.89
    they
    0.88
     Their
    0.88
     theirs
    0.87
     themselves
    0.85
    Activations Density 1.787%

    No Known Activations