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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. 1-RES-JB
    11. 18774
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    Explanations

    words related to rugged outdoor terrain or activities

    oai_token-act-pair · gpt-3.5-turbo

    references to cropping and crochet-related activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hips
    -0.87
    imental
    -0.74
    UAL
    -0.71
    iating
    -0.71
    endez
    -0.71
     Zucker
    -0.70
    etics
    -0.68
    ERSON
    -0.66
    etic
    -0.65
    iyah
    -0.65
    POSITIVE LOGITS
     cro
    1.27
    cro
    0.90
     Cro
    0.83
     Osw
    0.81
    grain
    0.80
    oked
    0.79
     crochet
    0.79
    oks
    0.78
    pper
    0.77
     Schne
    0.71
    Activations Density 0.002%

    No Known Activations