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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. 0-RES-JB
    11. 2037
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    Explanations

    proper nouns and names related to media or individuals

    oai_token-act-pair · gpt-3.5-turbo

    terms related to media, particularly focusing on specific individuals and discussions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Horror
    -0.68
    Legend
    -0.67
    ghan
    -0.66
     hanged
    -0.65
    itialized
    -0.63
    ependent
    -0.63
    metic
    -0.62
    urable
    -0.61
    anne
    -0.61
    urches
    -0.60
    POSITIVE LOGITS
    edia
    1.94
     Steele
    1.67
    talk
    1.28
     shuttle
    1.26
     ion
    1.24
     Torres
    1.19
    uter
    1.08
     Holt
    1.07
     turb
    1.02
     Mayweather
    1.01
    Activations Density 0.044%

    No Known Activations