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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. 17658
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    Explanations

    references to smartphones

    oai_token-act-pair · gpt-3.5-turbo

    terms related to smartphones and their features

    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
    gage
    -0.99
    abet
    -0.92
    ration
    -0.90
    bos
    -0.90
    rate
    -0.89
    une
    -0.89
    utions
    -0.88
    tics
    -0.86
    rations
    -0.84
    arie
    -0.83
    POSITIVE LOGITS
     application
    0.83
     affordability
    0.73
     slump
    0.73
     manufacturer
    0.71
     competitor
    0.69
     purchaser
    0.67
     accessory
    0.67
     powerhouse
    0.67
     applications
    0.66
     licence
    0.66
    Activations Density 0.188%

    No Known Activations