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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. 1-RES-JB
    6. 23841
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    INDEX
    Explanations

    references to recurring roles or themes in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    phrases related to things happening repeatedly or appearing frequently

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ablishment
    -0.87
    chens
    -0.79
    eah
    -0.74
    orgetown
    -0.70
    cellence
    -0.69
    ugen
    -0.69
    imb
    -0.68
    okin
    -0.68
    toc
    -0.68
    ull
    -0.67
    POSITIVE LOGITS
     recurring
    1.38
     recurrent
    1.03
     nightmares
    1.02
     occurrences
    0.93
     themes
    0.93
     episodes
    0.91
     installments
    0.90
     bouts
    0.89
     motif
    0.88
    interstitial
    0.85
    Activations Density 0.004%

    No Known Activations