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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. 3-RES-JB
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    Explanations

    the word "staffer" in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    mentions of staffers or their roles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    asca
    -0.71
     Bombay
    -0.68
    Trend
    -0.67
     Jub
    -0.66
    ãĥĸ
    -0.66
    ¥µ
    -0.64
    olithic
    -0.62
     Prest
    -0.62
    ĵĺ
    -0.61
    ENC
    -0.61
    POSITIVE LOGITS
    irtual
    0.96
     staffers
    0.90
     staffer
    0.90
     Emails
    0.83
    olor
    0.83
     reception
    0.81
     interns
    0.78
    email
    0.76
     tasked
    0.75
     stationed
    0.75
    Activations Density 0.015%

    No Known Activations