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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. 2135
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    Explanations

    mentions of the word 'att' followed by a number

    oai_token-act-pair · gpt-3.5-turbo

    variations of the word "att."

    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
     jaws
    -0.67
     fentanyl
    -0.64
    phe
    -0.63
     Uzbek
    -0.62
     Galile
    -0.62
    vous
    -0.60
     methyl
    -0.60
    Ö¼
    -0.59
     Commando
    -0.59
    lda
    -0.59
    POSITIVE LOGITS
    anooga
    1.54
    leground
    1.27
    ributes
    1.21
    itude
    1.19
    ributed
    1.13
    hews
    1.13
    orney
    1.12
    ista
    1.10
    erers
    1.10
    erer
    1.08
    Activations Density 0.041%

    No Known Activations