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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 10596
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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 @ 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
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    Negative Logits
     heaviest
    -0.63
     Kubrick
    -0.63
     heavier
    -0.62
     highlighting
    -0.60
     prone
    -0.60
     pregnant
    -0.60
    ãĥ£
    -0.59
     prevailing
    -0.59
    orne
    -0.58
     Donetsk
    -0.58
    POSITIVE LOGITS
    iced
    1.19
    serv
    1.07
    itude
    1.05
    icing
    1.01
    iments
    1.00
    icer
    0.89
    ando
    0.89
    ecast
    0.87
    itary
    0.87
    estyles
    0.85
    Activations Density 0.022%

    No Known Activations