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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. 4374
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    Explanations

    words related to advertisements and promotions

    oai_token-act-pair · gpt-3.5-turbo

    references to advertising and consumer behavior

    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
    sth
    -0.77
    BILITY
    -0.75
    closure
    -0.72
    erning
    -0.71
    mediate
    -0.71
    ETHOD
    -0.71
    uci
    -0.68
    ropri
    -0.68
    Depth
    -0.67
     Pwr
    -0.67
    POSITIVE LOGITS
     cartoons
    1.59
     commercials
    1.51
     television
    1.48
     movies
    1.42
     documentaries
    1.41
     advertisements
    1.41
     movie
    1.35
     videos
    1.33
     films
    1.32
     TV
    1.31
    Activations Density 0.917%

    No Known Activations