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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 2-RES-JB
    6. 20165
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    Explanations

    words related to a specific person's name

    oai_token-act-pair · gpt-3.5-turbo

    references to specific individuals or names associated with particular arguments or subjects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    gling
    -0.80
     HELL
    -0.69
    model
    -0.63
     Privacy
    -0.63
     reconc
    -0.62
    lining
    -0.62
    regon
    -0.60
     cryptic
    -0.59
     Spartans
    -0.59
     captcha
    -0.58
    POSITIVE LOGITS
    aza
    1.37
    ire
    1.01
    ë
    0.91
    ifa
    0.88
    eed
    0.87
    elta
    0.84
    hea
    0.84
    ption
    0.80
    asca
    0.80
    heim
    0.79
    Activations Density 0.009%

    No Known Activations