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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 4-RES-JB
    6. 1607
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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
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    Negative Logits
    ths
    -0.86
     strained
    -0.72
     veins
    -0.68
    forward
    -0.67
     detached
    -0.65
    ne
    -0.64
     UD
    -0.63
    turn
    -0.63
     porous
    -0.62
    phone
    -0.62
    POSITIVE LOGITS
    eers
    1.00
     Winners
    0.97
     prizes
    0.93
    stakes
    0.89
     contest
    0.87
     awards
    0.87
     competitions
    0.83
    eer
    0.82
     organisers
    0.82
     Contest
    0.80
    Activations Density 0.044%

    No Known Activations