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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. 8-RES-JB
    6. 22115
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    terms related to important choices or options

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hen
    -0.68
    cius
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    sv
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    visible
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    482
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    athi
    -0.61
     Gleaming
    -0.61
    zek
    -0.60
    Dash
    -0.59
    ku
    -0.58
    POSITIVE LOGITS
     for
    1.22
    for
    1.09
     FOR
    1.01
    FOR
    0.96
     For
    0.89
    For
    0.85
    abase
    0.69
    fore
    0.68
    fort
    0.67
     against
    0.67
    Activations Density 0.175%

    No Known Activations