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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. 11-RES-JB
    11. 2401
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    INDEX
    Explanations

    titles or references to individuals, most likely within a journalistic context

    oai_token-act-pair · gpt-3.5-turbo

    periods and their usage in sentences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    wcs
    -0.82
     livest
    -0.72
    arily
    -0.71
     servicing
    -0.71
     secondly
    -0.70
    availability
    -0.68
     suitable
    -0.68
    ĻĤ
    -0.67
     charact
    -0.66
    alysed
    -0.65
    POSITIVE LOGITS
     Weasley
    1.04
     Cuomo
    1.02
     Zuckerberg
    1.01
     Hussein
    1.00
     Snowden
    1.00
     Gingrich
    1.00
     Bezos
    1.00
     Olson
    1.00
     Weinstein
    0.99
     Kushner
    0.99
    Activations Density 0.044%

    No Known Activations