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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. 20164
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    Explanations

    keywords related to sports teams, particularly the name "Juventus"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the word "Juventus" and its variations

    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
    dayName
    -0.83
     Parables
    -0.75
    holders
    -0.71
    parent
    -0.69
    TPPStreamerBot
    -0.66
    beard
    -0.66
    holder
    -0.65
    ãĥĥãĥī
    -0.65
    display
    -0.65
    parts
    -0.65
    POSITIVE LOGITS
    xtap
    1.24
     Ju
    1.15
    Ju
    1.14
    arez
    1.10
    uti
    0.96
    jas
    0.92
    jj
    0.90
    illet
    0.87
    illard
    0.86
    ipers
    0.86
    Activations Density 0.005%

    No Known Activations