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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. 20423
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    Explanations

    title abbreviations or acronyms

    oai_token-act-pair · gpt-3.5-turbo

    the acronym "TA" and its associated 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
    stocks
    -0.81
    space
    -0.80
    lain
    -0.79
    meyer
    -0.75
    nen
    -0.74
    ously
    -0.71
    wagen
    -0.70
    espie
    -0.70
    papers
    -0.69
    nan
    -0.68
    POSITIVE LOGITS
    KE
    0.97
    BILITY
    0.91
    VE
    0.88
    WA
    0.87
    WN
    0.86
    KER
    0.85
    ZI
    0.84
    pling
    0.83
    ZE
    0.82
    ILS
    0.82
    Activations Density 0.014%

    No Known Activations