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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. 7-RES-JB
    11. 9329
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    Explanations

    phrases related to reports and data analysis

    oai_token-act-pair · gpt-3.5-turbo

    references to reports and articles from research centers and news outlets

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    姫
    -0.78
    ovy
    -0.71
    rex
    -0.65
    axy
    -0.62
    chan
    -0.61
    ansky
    -0.61
    risome
    -0.61
    ory
    -0.61
    osi
    -0.61
    meric
    -0.60
    POSITIVE LOGITS
    arthed
    0.81
     entitled
    0.69
     Brill
    0.62
     regarding
    0.62
    ings
    0.61
     titled
    0.61
     depicts
    0.59
     Dahl
    0.58
     Dreams
    0.57
     Omni
    0.57
    Activations Density 0.326%

    No Known Activations