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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. 8707
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    Explanations

    references to soap

    oai_token-act-pair · gpt-3.5-turbo

    references to soap operas

    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
    umbered
    -0.73
    etermined
    -0.71
    trl
    -0.66
    uding
    -0.64
     omission
    -0.63
    alez
    -0.63
    orders
    -0.62
     sworn
    -0.60
    CVE
    -0.60
    places
    -0.60
    POSITIVE LOGITS
     opera
    1.14
     oper
    1.09
     soap
    0.96
    eless
    0.87
    wich
    0.84
    bowl
    0.81
    pering
    0.78
    herer
    0.78
    utical
    0.75
     Leone
    0.75
    Activations Density 0.009%

    No Known Activations