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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. 2-RES-JB
    11. 14429
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    INDEX
    Explanations

    mentions of specific brand names

    oai_token-act-pair · gpt-3.5-turbo

    references to consumer brands

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pmwiki
    -0.74
     Houth
    -0.73
     Bay
    -0.73
     Corps
    -0.72
     Maid
    -0.69
     Poverty
    -0.67
    isite
    -0.66
     Panthers
    -0.66
     Greenland
    -0.65
     Rays
    -0.65
    POSITIVE LOGITS
     brands
    1.12
    uggest
    0.89
    isine
    0.87
    liga
    0.85
    wana
    0.84
    umers
    0.80
    Brand
    0.80
    cham
    0.80
    acca
    0.78
    afety
    0.77
    Activations Density 0.013%

    No Known Activations