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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
    11. 21237
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    Explanations

    names of individuals, with a strong focus on finding the name "Holden."

    oai_token-act-pair · gpt-3.5-turbo

    names of people and notable figures

    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
    mentation
    -0.86
    aneous
    -0.83
    onent
    -0.81
    hement
    -0.77
    llular
    -0.76
    thodox
    -0.76
    erate
    -0.73
    ãĥĥãĥĪ
    -0.70
    eele
    -0.69
    CVE
    -0.68
    POSITIVE LOGITS
     Holden
    0.94
     Commodore
    0.83
     Wink
    0.79
     Dahl
    0.79
     Smy
    0.75
    worth
    0.70
     Norris
    0.69
    erness
    0.67
    fell
    0.65
     guilt
    0.64
    Activations Density 0.021%

    No Known Activations