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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. 13483
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    Explanations

    names of universities

    oai_token-act-pair · gpt-3.5-turbo

    repeated instances of the word "and" in various contexts

    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
    erent
    -0.65
    GREEN
    -0.62
    ãĥĥãĥī
    -0.62
    hern
    -0.60
    âĵĺ
    -0.59
    ALLY
    -0.59
    Temperature
    -0.58
    VD
    -0.58
    Diamond
    -0.58
    emort
    -0.58
    POSITIVE LOGITS
    rogen
    0.87
    rogens
    0.72
    romeda
    0.65
     faire
    0.65
    erers
    0.64
    asus
    0.64
    rology
    0.63
    urga
    0.61
     empowered
    0.61
     heals
    0.60
    Activations Density 0.131%

    No Known Activations