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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. 11-RES-JB
    11. 3662
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    Explanations

    percentages

    oai_token-act-pair · gpt-3.5-turbo

    percentages related to various statistics or measurements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    apesh
    -0.68
    Live
    -0.65
    ometimes
    -0.63
    ITNESS
    -0.63
    uno
    -0.62
    !/
    -0.62
    phis
    -0.60
    ICAN
    -0.60
    enance
    -0.60
     wisely
    -0.59
    POSITIVE LOGITS
     cent
    1.15
     dollar
    0.81
     cents
    0.81
     ann
    0.76
     capita
    0.74
     penny
    0.71
     ounce
    0.70
     division
    0.69
    pend
    0.69
     hour
    0.67
    Activations Density 0.036%

    No Known Activations