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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. 3272
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    Explanations

    words related to titles or headings

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "title" and related contextual phrases

    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
    gm
    -0.75
    ombo
    -0.74
    obb
    -0.72
    iggs
    -0.69
     isot
    -0.65
     intest
    -0.64
    hap
    -0.64
     Libraries
    -0.64
    olin
    -0.62
    akening
    -0.62
    POSITIVE LOGITS
    title
    1.00
    manship
    0.87
    marks
    0.83
     title
    0.80
    eous
    0.79
    ãĥĩ
    0.78
    mark
    0.77
     titles
    0.76
    ¥µ
    0.75
    itatively
    0.74
    Activations Density 0.012%

    No Known Activations