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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. 3-RES-JB
    11. 22901
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    INDEX
    Explanations

    phrases indicating something happened in the past or before a specific point in time

    oai_token-act-pair · gpt-3.5-turbo

    references to prior conditions or events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aden
    -0.71
    asp
    -0.70
    rosso
    -0.69
    RO
    -0.66
    ickle
    -0.65
    tower
    -0.65
    Hub
    -0.65
     Dresden
    -0.63
    %%%%
    -0.63
    =-=-=-=-=-=-=-=-
    -0.61
    POSITIVE LOGITS
    itiz
    1.14
    itized
    1.04
    etheless
    0.96
    ities
    0.94
    ebin
    0.84
    emort
    0.80
    cies
    0.79
     authenticated
    0.74
    orthy
    0.70
     generations
    0.70
    Activations Density 0.012%

    No Known Activations