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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. 2060
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    INDEX
    Explanations

    descriptions of physical objects

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating perception or realization

    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
     Bere
    -0.65
     Addiction
    -0.64
     renaissance
    -0.64
     maternity
    -0.62
     Champions
    -0.61
     truce
    -0.61
     sustainability
    -0.61
     Domestic
    -0.60
     kindred
    -0.59
     Leadership
    -0.59
    POSITIVE LOGITS
     guessed
    1.12
     guesses
    1.06
     guess
    1.05
     guessing
    1.00
     inspecting
    0.94
     scanned
    0.91
     inspection
    0.89
     infer
    0.88
     zoom
    0.87
     scan
    0.86
    Activations Density 0.955%

    No Known Activations