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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. 1-RES-JB
    11. 3630
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    Explanations

    terms related to branding and marketing

    oai_token-act-pair · gpt-3.5-turbo

    references to brands

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    veyard
    -0.81
    pmwiki
    -0.76
     Torrent
    -0.73
    ulhu
    -0.73
     Poverty
    -0.72
    xual
    -0.70
    SEE
    -0.70
     Able
    -0.68
    sein
    -0.66
    vernment
    -0.63
    POSITIVE LOGITS
    brand
    1.02
     brand
    1.00
     loyalty
    0.93
    Brand
    0.86
     brands
    0.85
    ishing
    0.85
    enburg
    0.83
    ished
    0.81
    arov
    0.77
    isine
    0.75
    Activations Density 0.014%

    No Known Activations