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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. 4722
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    Explanations

    mentions of digital or electronic products, particularly focusing on e-books or e-commerce

    oai_token-act-pair · gpt-3.5-turbo

    references to electronic books

    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
    ãĤ¤ãĥĪ
    -0.86
     Kitchen
    -0.78
     Painter
    -0.77
     Katz
    -0.76
    ãĥ´ãĤ¡
    -0.69
     Anthem
    -0.67
     Archdemon
    -0.67
     Thrones
    -0.64
     Showdown
    -0.63
     Paramount
    -0.63
    POSITIVE LOGITS
    tymology
    1.28
    agles
    1.14
    arthed
    1.12
    ighth
    1.05
    ugen
    1.03
    gypt
    1.02
    ternally
    0.99
    resp
    0.98
    ucl
    0.98
    thereum
    0.97
    Activations Density 0.023%

    No Known Activations