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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. 8-RES-JB
    11. 335
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    Explanations

    references to computer hardware, specifically drives

    oai_token-act-pair · gpt-3.5-turbo

    references to hard drives and storage devices

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Seym
    -0.92
    abad
    -0.80
    ambo
    -0.76
    imates
    -0.73
    uba
    -0.73
     Lumpur
    -0.72
    imating
    -0.72
     Orchestra
    -0.70
     Flynn
    -0.69
    oggles
    -0.68
    POSITIVE LOGITS
    train
    0.85
    away
    0.78
    Drive
    0.75
    aways
    0.70
    wall
    0.69
    disk
    0.69
    Club
    0.68
    RECT
    0.67
    back
    0.67
    HAM
    0.67
    Activations Density 0.034%

    No Known Activations