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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. 0-RES-JB
    6. 10748
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    INDEX
    Explanations

    words that are often found in code or technical documentation

    oai_token-act-pair · gpt-3.5-turbo

    terms related to votes or voting processes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Baz
    -0.68
     grooming
    -0.67
     pretext
    -0.67
     Boh
    -0.64
     shrew
    -0.64
     Mu
    -0.61
     Minute
    -0.61
     Magn
    -0.61
     distracted
    -0.60
     mog
    -0.60
    POSITIVE LOGITS
    ES
    4.05
    ESA
    1.76
    ESH
    1.73
    es
    1.73
     ES
    1.65
    EST
    1.64
    ESE
    1.61
    ED
    1.59
    EC
    1.53
    EW
    1.53
    Activations Density 0.010%

    No Known Activations