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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. 6-RES-JB
    11. 14134
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    INDEX
    Explanations

    phrases related to sports competitions and events

    oai_token-act-pair · gpt-3.5-turbo

    references to sports events and structured competitions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rower
    -0.80
    employed
    -0.77
    perm
    -0.76
    ifles
    -0.76
    ictions
    -0.75
    ught
    -0.73
    */(
    -0.72
     spirited
    -0.71
    liest
    -0.69
    eral
    -0.68
    POSITIVE LOGITS
     Zero
    0.88
     Island
    0.84
     Day
    0.82
     Bowl
    0.82
     Link
    0.80
     Boy
    0.79
     Two
    0.78
     Point
    0.77
     One
    0.76
     Tours
    0.75
    Activations Density 0.221%

    No Known Activations