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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. 5-RES-JB
    6. 7194
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    Explanations

    photographs or images in a document

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "Photo"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iazep
    -0.85
    adden
    -0.79
    uckle
    -0.75
    ollah
    -0.72
    ortun
    -0.71
    otomy
    -0.70
    ouls
    -0.70
    resses
    -0.70
    imore
    -0.69
    EEK
    -0.68
    POSITIVE LOGITS
     Gallery
    0.92
    journal
    0.90
     gallery
    0.84
     galleries
    0.80
     Photo
    0.80
     snapped
    0.79
     shoots
    0.78
     illustration
    0.78
     Booth
    0.77
     Phot
    0.74
    Activations Density 0.015%

    No Known Activations