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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. 10-RES-JB
    11. 6949
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    Explanations

    references to olive and olive oil

    oai_token-act-pair · gpt-3.5-turbo

    references to olive and olive oil

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    é¾
    -0.89
    ulhu
    -0.76
    glomer
    -0.71
     Heller
    -0.71
    USS
    -0.70
    theless
    -0.69
    CHAT
    -0.69
    ERN
    -0.69
    urtle
    -0.68
    éĹ
    -0.68
    POSITIVE LOGITS
     oil
    1.27
     oils
    1.13
     Oil
    1.09
    ira
    1.04
     olive
    0.98
    Oil
    0.88
     branch
    0.83
     peel
    0.82
    tti
    0.81
    seed
    0.80
    Activations Density 0.044%

    No Known Activations