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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
    11. 13112
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    Explanations

    words related to things that are not relevant or meaningful

    oai_token-act-pair · gpt-3.5-turbo

    terms that indicate a lack of significance or relevance

    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
    heny
    -0.84
    ogh
    -0.83
    asio
    -0.72
    EMA
    -0.71
    ieves
    -0.71
    icion
    -0.68
    ench
    -0.68
    aun
    -0.67
    uth
    -0.67
    aws
    -0.67
    POSITIVE LOGITS
     irrelevant
    1.07
     aside
    0.92
     moot
    0.89
     kidding
    0.88
     nonsense
    0.82
    puff
    0.81
     insignificant
    0.81
    soever
    0.76
     meaningless
    0.72
     pointless
    0.72
    Activations Density 0.013%

    No Known Activations