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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 2-RES-JB
    6. 8453
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    INDEX
    Explanations

    numerical values denoting certainty or probability, particularly when expressed as percentages

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating certainty or quantifiable metrics, especially those expressing percentages

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rift
    -0.78
    vati
    -0.73
    rang
    -0.72
    colm
    -0.71
    olas
    -0.70
    isen
    -0.70
    netflix
    -0.69
    achi
    -0.69
    akings
    -0.68
    attled
    -0.67
    POSITIVE LOGITS
    00000
    1.21
    %"
    1.03
    %]
    0.96
    0000
    0.95
    %;
    0.90
    =#
    0.89
    0000000
    0.89
    Percent
    0.86
    000000
    0.85
    000
    0.85
    Activations Density 0.027%

    No Known Activations