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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. 24545
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    Explanations

    words related to sports or physical activities, specifically involving competitions or challenges

    oai_token-act-pair · gpt-3.5-turbo

    interactions and comparisons among people or events

    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
    ashington
    -0.60
    olitics
    -0.56
     Gulf
    -0.53
    20439
    -0.52
     propelled
    -0.52
    ASHINGTON
    -0.52
    arsity
    -0.50
    ô
    -0.49
     ÂŃ
    -0.49
    Ò
    -0.48
    POSITIVE LOGITS
     setups
    0.67
     spoilers
    0.65
     somew
    0.65
     datas
    0.62
     devs
    0.60
     :)
    0.60
     ;)
    0.60
     ðŁĻĤ
    0.59
     sanity
    0.58
     laz
    0.58
    Activations Density 1.734%

    No Known Activations