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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. 5-RES-JB
    6. 16755
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    Explanations

    mentions of the word "itter" with varying degrees of emphasis, possibly indicating a preference for higher activations

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "itter" in varying contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lez
    -0.73
    ournals
    -0.68
    urat
    -0.67
    cephal
    -0.66
     Kingdoms
    -0.66
    Wan
    -0.59
     Reconstruction
    -0.58
    Pakistan
    -0.58
    Ro
    -0.58
    ---------------
    -0.57
    POSITIVE LOGITS
    geist
    1.08
    cair
    0.97
    bug
    0.92
    sburg
    0.88
    mite
    0.83
    tainment
    0.80
    bugs
    0.78
    iver
    0.76
    ing
    0.76
    ite
    0.76
    Activations Density 0.016%

    No Known Activations