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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. 5167
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    Explanations

    phrases related to design and creation

    oai_token-act-pair · gpt-3.5-turbo

    references to artistic creation and design elements

    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
    stood
    -0.83
    unity
    -0.69
    leaf
    -0.67
    ranch
    -0.66
    omics
    -0.65
     absorbed
    -0.63
    illard
    -0.61
     vain
    -0.60
    mie
    -0.60
     blur
    -0.59
    POSITIVE LOGITS
     Thumbnails
    0.89
     Sketch
    0.85
     Caption
    0.80
     Created
    0.78
    hran
    0.78
    ĸļ
    0.77
     Occupations
    0.76
    Actor
    0.75
     Close
    0.72
    iframe
    0.72
    Activations Density 0.003%

    No Known Activations