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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 1-RES-JB
    11. 5464
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    Explanations

    memos or written documents

    oai_token-act-pair · gpt-3.5-turbo

    references to internal documents or memos

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Interstitial
    -0.79
    respect
    -0.76
    reek
    -0.70
    certain
    -0.67
    hani
    -0.66
    Georgia
    -0.65
    rates
    -0.64
    akening
    -0.62
    course
    -0.62
    fast
    -0.61
    POSITIVE LOGITS
     memo
    1.27
     memos
    0.91
    ariat
    0.87
    ufact
    0.87
    osal
    0.86
    andum
    0.85
    emort
    0.84
    ovie
    0.84
    ãĥ¼ãĥĨ
    0.80
    izational
    0.80
    Activations Density 0.011%

    No Known Activations