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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. 9-RES-JB
    11. 20798
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    Explanations

    references to photographs or images

    oai_token-act-pair · gpt-3.5-turbo

    references to photographs or images

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ciating
    -0.72
    imore
    -0.71
    ollah
    -0.69
    riched
    -0.66
    otomy
    -0.64
    rane
    -0.63
    ModLoader
    -0.62
     unch
    -0.61
    uckle
    -0.60
    rete
    -0.60
    POSITIVE LOGITS
     Credit
    0.83
    journal
    0.82
     Gallery
    0.81
     gallery
    0.80
     snapped
    0.77
     courtesy
    0.74
     caption
    0.73
    Shop
    0.72
     illustration
    0.71
    credit
    0.71
    Activations Density 0.016%

    No Known Activations