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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. 11751
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    INDEX
    Explanations

    numbers related to peaks or pinnacles

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "peak" and its variations in various contexts

    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
    dit
    -0.94
    Conn
    -0.71
    olo
    -0.70
    tti
    -0.69
    onto
    -0.68
    thia
    -0.67
     Authorities
    -0.64
    icia
    -0.63
    anim
    -0.62
     Juda
    -0.61
    POSITIVE LOGITS
     peak
    3.85
     peaks
    2.77
    peak
    2.34
     Peak
    2.29
     peaked
    1.90
     plateau
    1.44
     pinnacle
    1.39
     apex
    1.36
     spike
    1.32
     surge
    1.23
    Activations Density 0.009%

    No Known Activations