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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. 20820
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    INDEX
    Explanations

    mentions of specific dates, places, and events

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "Carleton."

    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
    bler
    -0.76
    ÏĦ
    -0.75
    Save
    -0.75
    gets
    -0.73
    DonaldTrump
    -0.72
    ku
    -0.68
    ĻĤ
    -0.68
    gers
    -0.67
    Clear
    -0.67
    sky
    -0.66
    POSITIVE LOGITS
    neau
    0.95
    ovan
    0.91
    leton
    0.91
    amination
    0.90
    gomery
    0.89
    rack
    0.84
    aneously
    0.84
    nis
    0.80
    ovo
    0.79
    culus
    0.76
    Activations Density 0.016%

    No Known Activations