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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. 1-RES-JB
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    Explanations

    mentions of the word "Olympian" or related terms

    oai_token-act-pair · gpt-3.5-turbo

    terms related to the Olympics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ++++++++++++++++
    -0.75
    ASE
    -0.71
    stocks
    -0.69
    ======
    -0.68
    doors
    -0.67
    border
    -0.67
    aping
    -0.66
    ========
    -0.66
    breeding
    -0.65
    ACTION
    -0.65
    POSITIVE LOGITS
     Olymp
    1.23
    ians
    1.09
     Pengu
    0.91
     traged
    0.91
    emouth
    0.90
    iate
    0.83
    iator
    0.83
    ics
    0.83
     enthusi
    0.82
    ias
    0.81
    Activations Density 0.012%

    No Known Activations