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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. 6-RES-JB
    11. 1448
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    Explanations

    words related to promoting or marketing something

    oai_token-act-pair · gpt-3.5-turbo

    instances of promotion and marketing efforts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    fax
    -0.78
    ÄŁ
    -0.76
     fingerprints
    -0.72
    akia
    -0.70
     Howe
    -0.67
     fing
    -0.66
     Khe
    -0.65
    iott
    -0.64
    gaard
    -0.64
     pond
    -0.64
    POSITIVE LOGITS
     virtues
    0.90
    aughs
    0.80
    amins
    0.80
     superiority
    0.78
     separat
    0.76
    iveness
    0.74
    hovah
    0.72
    clus
    0.72
     revival
    0.69
     Revival
    0.68
    Activations Density 0.233%

    No Known Activations