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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. 7-RES-JB
    11. 9021
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    Explanations

    information about events, products, or projects that are being highlighted or showcased

    oai_token-act-pair · gpt-3.5-turbo

    references to events or productions that include specific features or highlights

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    sis
    -1.00
    alty
    -0.84
    bell
    -0.78
    berman
    -0.77
    si
    -0.77
    gee
    -0.72
    externalActionCode
    -0.69
    turn
    -0.67
    hood
    -0.66
    atum
    -0.64
    POSITIVE LOGITS
     prominently
    1.32
     elements
    0.78
     clips
    0.77
    istors
    0.76
    ttes
    0.75
     Include
    0.73
     visuals
    0.73
     celebrities
    0.69
     flashbacks
    0.69
     features
    0.68
    Activations Density 0.049%

    No Known Activations