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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 3-RES-JB
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    Explanations

    mentions of retired individuals

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "retired."

    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
    ellen
    -0.74
     Grimm
    -0.71
     Rig
    -0.71
     Hispan
    -0.70
    ñ
    -0.70
     Merlin
    -0.69
    owitz
    -0.68
    oos
    -0.68
    hran
    -0.67
    arta
    -0.65
    POSITIVE LOGITS
     retiring
    0.94
     retirement
    0.81
     retire
    0.79
     retirees
    0.77
     pensions
    0.77
    Veter
    0.74
    dinand
    0.73
    unte
    0.72
     retired
    0.72
    spective
    0.71
    Activations Density 0.010%

    No Known Activations