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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. 8-RES-JB
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    Explanations

    the word "resolution"

    oai_token-act-pair · gpt-3.5-turbo

    the term "resolution" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    endon
    -0.75
    elong
    -0.71
    axter
    -0.71
    spring
    -0.70
    OTAL
    -0.69
    rium
    -0.68
    terson
    -0.68
    pocket
    -0.68
    iott
    -0.68
    eson
    -0.67
    POSITIVE LOGITS
     authorizing
    0.94
     resolutions
    0.89
     resolution
    0.86
     Resolution
    0.84
    mary
    0.78
    witz
    0.78
    ancing
    0.74
     condemning
    0.74
    olution
    0.72
    xual
    0.71
    Activations Density 0.030%

    No Known Activations