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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. 24243
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    Explanations

    text related to photographs or visuals

    oai_token-act-pair · gpt-3.5-turbo

    references to photos or images in the text

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    astically
    -0.70
    amped
    -0.63
     judgement
    -0.63
    schild
    -0.62
    astics
    -0.61
    amping
    -0.60
    osc
    -0.60
    essage
    -0.59
    ouls
    -0.59
    powers
    -0.59
    POSITIVE LOGITS
     illustration
    1.02
     gallery
    0.94
     Gallery
    0.93
     Credit
    0.90
    journal
    0.90
     courtesy
    0.89
     caption
    0.86
     Courtesy
    0.83
    photo
    0.81
     Illust
    0.80
    Activations Density 0.029%

    No Known Activations