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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. 10-RES-JB
    6. 4013
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    terms associated with issues, questions, and concepts related to problems or debates

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rower
    -0.74
    cale
    -0.69
    stem
    -0.68
    ync
    -0.64
    erver
    -0.64
     Observatory
    -0.63
    hirt
    -0.62
     Splash
    -0.61
    ource
    -0.60
    creen
    -0.60
    POSITIVE LOGITS
    lessly
    1.07
    less
    0.91
    ishly
    0.89
    ually
    0.89
    ally
    0.88
    ably
    0.87
    atical
    0.86
    ically
    0.84
    arily
    0.83
    ily
    0.81
    Activations Density 0.381%

    No Known Activations