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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. 6-RES-JB
    11. 9175
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    Explanations

    percentages or numerical values related to measurements or statistics

    oai_token-act-pair · gpt-3.5-turbo

    references to percentages

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Merit
    -0.80
    Attributes
    -0.76
    Reviewer
    -0.73
    kefeller
    -0.71
    GROUP
    -0.71
    ITED
    -0.69
    æ³
    -0.68
    LAN
    -0.67
    PORT
    -0.67
    imir
    -0.66
    POSITIVE LOGITS
    imet
    1.32
    imeter
    1.05
    oning
    0.83
    uation
    0.79
    enary
    0.75
    rate
    0.74
    rated
    0.73
    urance
    0.73
    uary
    0.72
    elsen
    0.71
    Activations Density 0.024%

    No Known Activations