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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 4095
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    estate
    -0.83
    "]=>
    -0.76
     Mehran
    -0.74
    allery
    -0.70
    ']
    -0.66
    wagon
    -0.64
    grounds
    -0.64
    '/
    -0.63
    Reviewer
    -0.61
    SHIP
    -0.61
    POSITIVE LOGITS
     flourish
    0.78
     lenses
    0.68
     scissors
    0.68
     torches
    0.68
     gloves
    0.67
     flowing
    0.67
     hindsight
    0.66
     abandon
    0.65
     flair
    0.65
     linem
    0.63
    Activations Density 1.068%

    No Known Activations