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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. 8-RES-JB
    6. 7393
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    Explanations

    phrases related to mental processes, such as knowing, thinking, hoping, and believing

    oai_token-act-pair · gpt-3.5-turbo

    phrases expressing knowledge, belief, or awareness

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Difference
    -0.70
    pdf
    -0.68
    enum
    -0.64
    version
    -0.62
    Poké
    -0.62
    ena
    -0.62
    auri
    -0.62
    asse
    -0.60
    issue
    -0.60
    haw
    -0.60
    POSITIVE LOGITS
    lessly
    0.82
     strangers
    0.74
     thereby
    0.73
     lest
    0.71
     anticipation
    0.69
     unsuspecting
    0.68
    efully
    0.67
     fors
    0.65
     nothing
    0.65
     nobody
    0.64
    Activations Density 0.154%

    No Known Activations