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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. 0-RES-JB
    11. 22587
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    Explanations

    words related to named individuals, potentially focusing on surnames, such as "Bronson" and "Onge"

    oai_token-act-pair · gpt-3.5-turbo

    repeated mentions of a specific name, indicating a focus on a particular individual

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     brace
    -0.65
     Log
    -0.62
     flying
    -0.62
     Jenna
    -0.61
     Visit
    -0.60
     Ips
    -0.60
     ratings
    -0.60
     Tele
    -0.60
     hovering
    -0.59
     Nav
    -0.58
    POSITIVE LOGITS
    onson
    4.54
    onge
    1.39
    ealous
    1.14
    weeney
    1.07
    addon
    1.06
    ons
    1.03
    owell
    1.02
    verson
    1.00
    ZA
    1.00
    owitz
    0.99
    Activations Density 0.021%

    No Known Activations