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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. 7-RES-JB
    11. 11799
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    Explanations

    names of specific positions in sports, particularly focusing on the midfield position

    oai_token-act-pair · gpt-3.5-turbo

    references to midfield players in sports contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Downloadha
    -0.84
    displayText
    -0.81
    PROV
    -0.74
    assetsadobe
    -0.73
    FTWARE
    -0.73
    20439
    -0.72
    Lear
    -0.71
    govtrack
    -0.71
    igslist
    -0.70
    INA
    -0.66
    POSITIVE LOGITS
    ers
    0.93
    ritch
    0.78
    roid
    0.77
    sters
    0.75
    ster
    0.74
     dimensions
    0.73
    wich
    0.70
    Layout
    0.70
     lan
    0.69
    s
    0.67
    Activations Density 0.032%

    No Known Activations