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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. 12362
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    Explanations

    terms indicating significant events, achievements, or noteworthy aspects within a specific context or narrative

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the term "highlight" and its variations

    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
    ldon
    -0.76
    atern
    -0.75
    aah
    -0.75
    nery
    -0.75
    yss
    -0.74
    agically
    -0.74
    sett
    -0.74
    zin
    -0.73
    aton
    -0.72
    orders
    -0.71
    POSITIVE LOGITS
     highlights
    1.18
     reel
    1.03
     Highlights
    0.90
     highlight
    0.82
    ibilities
    0.80
     highlighting
    0.79
    ibility
    0.78
     showcases
    0.76
    TextColor
    0.75
    ãĤ¤ãĥĪ
    0.75
    Activations Density 0.010%

    No Known Activations