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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 a person named "Mous"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Mous" and terms associated with scheming or deception

    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
    bing
    -0.77
     bleach
    -0.68
     ward
    -0.66
     Lange
    -0.65
     Buck
    -0.65
    使
    -0.64
    town
    -0.63
    bed
    -0.61
     Lyme
    -0.60
    waters
    -0.60
    POSITIVE LOGITS
    xual
    1.16
    estyles
    0.97
    iminary
    0.92
    ebus
    0.88
    ystem
    0.87
    egal
    0.86
    hooting
    0.86
    itivity
    0.86
    eways
    0.85
    hemat
    0.84
    Activations Density 0.040%

    No Known Activations