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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 18419
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    Explanations

    phrases related to specific individuals, possibly in positions of power or influence

    oai_token-act-pair · gpt-3.5-turbo

    words and phrases related to the concept of "conditions"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    kaya
    -0.77
    dfx
    -0.73
    cca
    -0.70
    ku
    -0.67
    ching
    -0.67
    ngth
    -0.66
    yrim
    -0.66
    doms
    -0.65
    DW
    -0.65
    chens
    -0.64
    POSITIVE LOGITS
    ensed
    0.94
    itionally
    0.92
    itional
    0.92
    uctor
    0.91
    uit
    0.85
    itions
    0.84
    ega
    0.82
    uits
    0.80
    iments
    0.76
    uitous
    0.76
    Activations Density 0.028%

    No Known Activations