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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 3-RES-JB
    11. 16311
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    Explanations

    words related to coffee

    oai_token-act-pair · gpt-3.5-turbo

    words related to coffee and latte

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ngth
    -0.69
    lihood
    -0.68
    fund
    -0.67
    fulness
    -0.65
     Nanto
    -0.62
     Violent
    -0.62
     Generations
    -0.61
     CPS
    -0.60
     Latter
    -0.60
    makers
    -0.60
    POSITIVE LOGITS
    aneers
    1.20
    ucc
    1.12
    uracy
    1.04
    ionage
    0.99
    isine
    0.94
    sburgh
    0.94
    adr
    0.91
    uzz
    0.90
    inia
    0.89
    eno
    0.89
    Activations Density 0.008%

    No Known Activations