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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. 3-RES-JB
    11. 3266
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    Explanations

    words related to advertisements or promotions

    oai_token-act-pair · gpt-3.5-turbo

    variations of the word "advertise" and related terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ĸļ
    -0.83
     gears
    -0.70
    PF
    -0.68
    ¬¼
    -0.62
    ĨĴ
    -0.60
     screws
    -0.60
    igham
    -0.59
     constants
    -0.59
    imir
    -0.57
    rued
    -0.57
    POSITIVE LOGITS
    enment
    0.71
    vantage
    0.69
    aline
    0.66
    vertisement
    0.65
    ition
    0.65
    ainment
    0.64
    rived
    0.64
    iquette
    0.63
     Gleaming
    0.63
    ucl
    0.63
    Activations Density 0.156%

    No Known Activations