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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. 4-RES-JB
    11. 10983
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    Explanations

    mentions of image or display resolution

    oai_token-act-pair · gpt-3.5-turbo

    references to image resolution specifications

    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
    Not in Any Lists

    No Comments

    Negative Logits
    redo
    -1.06
    bara
    -0.83
    erd
    -0.79
    tail
    -0.78
    obin
    -0.77
    doms
    -0.75
    tails
    -0.74
    spring
    -0.73
    soDeliveryDate
    -0.73
    wash
    -0.72
    POSITIVE LOGITS
     resolution
    0.94
     resolutions
    0.85
     Resolution
    0.82
     mismatch
    0.80
     1440
    0.78
    olution
    0.76
    olutions
    0.75
     magnification
    0.75
     1280
    0.73
     sickness
    0.72
    Activations Density 0.013%

    No Known Activations