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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. 6-RES-JB
    11. 7480
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to state-of-the-art technology or advanced systems

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    atto
    -0.76
    creator
    -0.73
     Rosenstein
    -0.70
    dot
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    Justice
    -0.67
    ãĥĺ
    -0.66
    gee
    -0.64
    ãĤŃ
    -0.64
    share
    -0.64
    ãĥį
    -0.62
    POSITIVE LOGITS
     equipment
    0.83
     proportions
    0.76
     amphib
    0.76
     gadget
    0.76
     facilities
    0.75
     weaponry
    0.74
     electro
    0.74
     hardware
    0.73
     ultr
    0.73
    nels
    0.72
    Activations Density 0.049%

    No Known Activations