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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. 2-RES-JB
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    Explanations

    terms related to public service or employment

    oai_token-act-pair · gpt-3.5-turbo

    references to public servants

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    POS
    -0.72
    ning
    -0.68
     Stam
    -0.65
     Bore
    -0.63
     Wichita
    -0.61
    uyomi
    -0.61
    esville
    -0.60
    prus
    -0.60
    ending
    -0.60
    COMPLE
    -0.60
    POSITIVE LOGITS
     servants
    1.21
     servant
    1.09
    maid
    1.07
     SERV
    0.77
     suites
    0.77
     minions
    0.72
    serv
    0.72
     cooks
    0.71
     Employees
    0.71
    agents
    0.70
    Activations Density 0.014%

    No Known Activations