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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. 6-RES-JB
    6. 6194
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    INDEX
    Explanations

    terms related to scientific or technical aspects, particularly focusing on morphology, genetics, and psychology

    oai_token-act-pair · gpt-3.5-turbo

    terms related to psychological and morphological concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lain
    -0.91
    tower
    -0.82
    iva
    -0.81
    ipedia
    -0.81
    rug
    -0.80
    rin
    -0.77
    icles
    -0.77
    flix
    -0.77
    wick
    -0.76
    nels
    -0.76
    POSITIVE LOGITS
     significance
    1.19
     impossibility
    1.09
     considerations
    1.06
     differences
    1.04
     ramifications
    1.03
     consequences
    1.02
     implications
    1.01
     maturity
    0.99
     necessity
    0.98
     difficulties
    0.98
    Activations Density 0.164%

    No Known Activations