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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. 7-RES-JB
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    Explanations

    mentions of the name "Jonathan"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Jonathan."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Ħ¢
    -0.99
    ĺħ
    -0.92
    shots
    -0.89
    eatures
    -0.86
    hops
    -0.84
    Ĥª
    -0.84
    algia
    -0.83
    ¥µ
    -0.83
    ebin
    -0.80
    arers
    -0.78
    POSITIVE LOGITS
    athan
    0.90
     Pearce
    0.88
     Summers
    0.78
     Cage
    0.76
    athon
    0.75
     Cohen
    0.75
     Edwards
    0.75
     Swift
    0.74
     Stewart
    0.73
     Amos
    0.72
    Activations Density 0.015%

    No Known Activations