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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 "shadow."

    oai_token-act-pair · gpt-3.5-turbo

    references to political positions or roles associated with shadows

    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
    urses
    -0.85
    anchester
    -0.81
    anooga
    -0.75
    tics
    -0.75
    unker
    -0.74
    apsed
    -0.72
    ourse
    -0.71
    OPLE
    -0.70
    otide
    -0.70
    Page
    -0.69
    POSITIVE LOGITS
     shadow
    0.99
     Shadow
    0.97
    moon
    0.96
    shadow
    0.91
    loo
    0.85
    Shadow
    0.83
    boxing
    0.80
     Shadows
    0.80
    hawk
    0.78
    busters
    0.77
    Activations Density 0.009%

    No Known Activations