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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. 9-RES-JB
    6. 14948
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    symbols and punctuation marks used in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     colours
    -0.56
     maths
    -0.53
     flavours
    -0.52
     tyres
    -0.52
     practise
    -0.52
     flavour
    -0.51
     symbols
    -0.50
     cafes
    -0.49
     behaviour
    -0.49
     veins
    -0.48
    POSITIVE LOGITS
    percent
    0.59
    bernatorial
    0.58
    tie
    0.54
    conserv
    0.54
    ¥
    0.50
    vantage
    0.50
    imon
    0.49
    berto
    0.49
    owship
    0.49
    ajor
    0.48
    Activations Density 1.919%

    No Known Activations