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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. 4-RES-JB
    11. 7527
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

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

    No Comments

    Negative Logits
    mpeg
    -0.86
    tarians
    -0.78
    aviour
    -0.78
    endment
    -0.78
    riter
    -0.76
    avia
    -0.74
    abad
    -0.74
    ulet
    -0.74
    testers
    -0.74
    ribut
    -0.74
    POSITIVE LOGITS
     daunting
    1.20
     obstacles
    1.00
     hurdle
    1.00
     obstacle
    0.97
     hurdles
    0.94
     task
    0.92
     insur
    0.89
     headache
    0.87
     disadvantage
    0.86
     headaches
    0.85
    Activations Density 0.020%

    No Known Activations