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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. 20919
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to news

    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
    ignt
    -0.69
    ueless
    -0.69
     grun
    -0.66
     Hamm
    -0.66
    inka
    -0.66
    aughs
    -0.66
    ersen
    -0.65
    sei
    -0.65
    inho
    -0.64
    xit
    -0.64
    POSITIVE LOGITS
    flash
    0.98
    reader
    0.96
    worthy
    0.94
    letter
    0.90
    room
    0.90
    feed
    0.90
    ource
    0.89
    letters
    0.86
    worthiness
    0.83
    NEWS
    0.81
    Activations Density 0.040%

    No Known Activations