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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. 0-RES-JB
    11. 23176
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    Explanations

    references to something or someone getting closer or nearing a particular point or location

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "approaching" and similar terms indicating a forthcoming event or condition

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Lifetime
    -0.74
    ":{"
    -0.64
    conn
    -0.63
    ler
    -0.62
    bench
    -0.60
    ylum
    -0.59
    monds
    -0.59
    mond
    -0.59
    uments
    -0.59
    ub
    -0.58
    POSITIVE LOGITS
     approaching
    3.60
     nearing
    1.73
     approached
    1.46
     approaches
    1.42
     impending
    1.33
     arriving
    1.31
     entering
    1.22
     approach
    1.22
     looming
    1.22
     retreating
    1.20
    Activations Density 0.016%

    No Known Activations