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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. 5060
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    Explanations

    instances of actions related to giving, helping, educating, and managing

    oai_token-act-pair · gpt-3.5-turbo

    actions related to social interaction and personal values

    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
    icion
    -0.80
    âĹ¼
    -0.78
    Ĥª
    -0.72
    DragonMagazine
    -0.72
    shown
    -0.71
    lvl
    -0.69
    they
    -0.67
    Ń·
    -0.66
    mobi
    -0.63
    ©¶æ¥µ
    -0.62
    POSITIVE LOGITS
     oneself
    1.96
     yourself
    1.50
     someone
    1.25
     somebody
    1.19
     yourselves
    1.15
     Yourself
    1.14
     your
    1.09
     strangers
    1.05
     Someone
    0.92
    someone
    0.92
    Activations Density 0.670%

    No Known Activations