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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. 5-RES-JB
    6. 8542
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    Explanations

    locations within a software development environment

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "in" within various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ens
    -0.75
    CLASSIFIED
    -0.74
    HAEL
    -0.74
     contag
    -0.70
    hur
    -0.67
     lett
    -0.66
     staffers
    -0.65
    llor
    -0.64
    ļ
    -0.63
     whistleblowers
    -0.63
    POSITIVE LOGITS
     lieu
    1.34
     accordance
    1.29
     conjunction
    1.26
    animate
    1.17
     addition
    1.17
    ordinate
    1.12
    clusions
    1.10
     order
    1.09
    clusively
    1.08
     relation
    1.07
    Activations Density 0.366%

    No Known Activations