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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. 9-RES-JB
    11. 16556
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    Explanations

    references to specific actions to be performed on a computer system or device

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "on" across various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    soDeliveryDate
    -0.78
    urdue
    -0.71
    jah
    -0.71
    terson
    -0.70
    arium
    -0.70
    utenberg
    -0.70
    amount
    -0.70
    perse
    -0.70
    rums
    -0.68
    ean
    -0.68
    POSITIVE LOGITS
     behalf
    1.30
     occasion
    1.10
    shore
    1.00
    erous
    0.99
     startup
    0.99
    screen
    0.97
     steroids
    0.92
     desktop
    0.92
    site
    0.92
    demand
    0.91
    Activations Density 0.138%

    No Known Activations