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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. 10-RES-JB
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    Explanations

    proper names - specifically the name "Nick" in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    the name "Nick" mentioned multiple times in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     redistributed
    -0.71
    UGH
    -0.64
     roy
    -0.62
    20439
    -0.61
     surv
    -0.61
    emale
    -0.59
    ttes
    -0.59
    fare
    -0.58
     chloride
    -0.57
     franc
    -0.57
    POSITIVE LOGITS
    named
    1.47
    laus
    1.35
    names
    1.19
    las
    1.10
    olas
    1.09
    name
    1.09
    erson
    1.00
    Serv
    0.94
     Saban
    0.93
    ety
    0.93
    Activations Density 0.023%

    No Known Activations