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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. 3-RES-JB
    11. 5048
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    terms related to color palettes and arrangements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hips
    -0.86
    iated
    -0.85
    abad
    -0.82
    doms
    -0.80
    iants
    -0.77
    dom
    -0.76
    igi
    -0.71
    iate
    -0.71
    ial
    -0.70
    iam
    -0.68
    POSITIVE LOGITS
     swaps
    0.79
     palette
    0.76
    tsky
    0.74
    ItemImage
    0.72
     mates
    0.72
    ĸļ
    0.70
     slideshow
    0.69
    ogue
    0.66
    anka
    0.65
    UNCH
    0.64
    Activations Density 0.015%

    No Known Activations