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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. 4-RES-JB
    11. 15472
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    Explanations

    phrases and words that are often used in advertisements

    oai_token-act-pair · gpt-3.5-turbo

    references to advertising and related terms

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

    No Comments

    Negative Logits
    uckle
    -0.80
    20439
    -0.72
    steen
    -0.68
     regret
    -0.63
    ivas
    -0.63
    come
    -0.63
     unfor
    -0.62
     Morrow
    -0.61
    turn
    -0.60
    ologies
    -0.59
    POSITIVE LOGITS
    vertising
    1.22
     Advertisement
    0.93
    agascar
    0.90
    culosis
    0.88
    eering
    0.84
    VERTISEMENT
    0.80
    allery
    0.76
    FontSize
    0.74
    ONSORED
    0.73
     Thumbnails
    0.73
    Activations Density 0.012%

    No Known Activations