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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. 4-RES-JB
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    Explanations

    the name "Roger"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Roger"

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

    No Comments

    Negative Logits
    runtime
    -0.85
    ipeg
    -0.80
    spir
    -0.71
    pai
    -0.70
    rises
    -0.70
    âĹ¼
    -0.69
    indu
    -0.68
     borne
    -0.67
    joined
    -0.66
    ihar
    -0.65
    POSITIVE LOGITS
     Roger
    0.95
     Goodell
    0.88
     Zel
    0.84
     Waters
    0.84
    rers
    0.82
     Rabbit
    0.80
    otiation
    0.79
    Roger
    0.79
     Rod
    0.77
     Moore
    0.75
    Activations Density 0.005%

    No Known Activations