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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 13178
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    INDEX
    Explanations

    percentages mentioned in text

    oai_token-act-pair · gpt-3.5-turbo

    references to percentages and statistical data

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Attributes
    -0.72
    ITED
    -0.70
    kefeller
    -0.70
    Reviewer
    -0.69
    GROUP
    -0.68
    anca
    -0.66
    DragonMagazine
    -0.66
    Merit
    -0.66
    æ³
    -0.65
    psons
    -0.64
    POSITIVE LOGITS
    imet
    1.28
    imeter
    1.08
    oning
    0.88
    rate
    0.83
    urion
    0.79
    urance
    0.78
    +)
    0.77
    enary
    0.76
    rated
    0.76
    een
    0.73
    Activations Density 0.024%

    No Known Activations