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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. 13703
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    Explanations

    references to popularity or votes in a political or cultural context

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of popularity

    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
    Not in Any Lists

    No Comments

    Negative Logits
    agher
    -0.76
    thur
    -0.76
    heed
    -0.73
    xual
    -0.69
    RAW
    -0.67
     clad
    -0.66
     Centauri
    -0.65
    ASC
    -0.64
     Aviv
    -0.63
    eki
    -0.63
    POSITIVE LOGITS
    ity
    1.00
    izing
    0.99
    ized
    0.98
    izations
    0.93
    ised
    0.92
    isations
    0.88
    izers
    0.87
    izer
    0.83
    ization
    0.80
    ize
    0.79
    Activations Density 0.028%

    No Known Activations