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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. 16713
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    Explanations

    specific references to "Seminary" or similar educational institutions

    oai_token-act-pair · gpt-3.5-turbo

    references to seminars or conference-related events

    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
     Strauss
    -0.67
    houses
    -0.65
     skating
    -0.64
     ramps
    -0.62
     tuberculosis
    -0.62
     mole
    -0.61
    Adds
    -0.61
     bowling
    -0.59
     delight
    -0.59
     stock
    -0.58
    POSITIVE LOGITS
    antics
    1.53
    inary
    1.38
    inar
    1.29
    blance
    1.28
    antic
    1.27
    iotics
    1.27
    pai
    1.24
    iotic
    1.16
    antically
    1.15
    igroup
    1.11
    Activations Density 0.029%

    No Known Activations