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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. 1-RES-JB
    11. 16391
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    Explanations

    mentions of the name "Jim"

    oai_token-act-pair · gpt-3.5-turbo

    references to the name "Jim"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    BOOK
    -0.88
    NetMessage
    -0.83
    Charges
    -0.81
    Spoiler
    -0.80
    Charge
    -0.76
    cffff
    -0.71
     disperse
    -0.71
    ngth
    -0.70
    DragonMagazine
    -0.67
    xual
    -0.67
    POSITIVE LOGITS
    enez
    1.34
    mie
    0.98
     Jim
    0.92
    iny
    0.83
     Mori
    0.83
    inez
    0.82
     Miliband
    0.82
    bo
    0.81
     Yong
    0.80
     Morrison
    0.79
    Activations Density 0.009%

    No Known Activations