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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. 14432
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    Explanations

    references to official visits

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "visit"

    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
    corn
    -0.68
     Pru
    -0.63
    acebook
    -0.61
    rencies
    -0.61
    rpm
    -0.61
    Ü
    -0.61
    ussen
    -0.60
     Jou
    -0.60
     pulp
    -0.59
     unden
    -0.59
    POSITIVE LOGITS
     abroad
    0.89
    acion
    0.86
    ations
    0.77
    è¦ļéĨĴ
    0.77
    ees
    0.75
    PsyNetMessage
    0.70
     visits
    0.70
    cation
    0.70
     itiner
    0.69
    odge
    0.68
    Activations Density 0.066%

    No Known Activations