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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. 4-RES-JB
    11. 11325
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    Explanations

    references to a specific computer processor model

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the letter 'Y'

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

    No Comments

    Negative Logits
    itures
    -0.73
    ities
    -0.72
    ãĥ¼ãĥĨãĤ£
    -0.71
     encryption
    -0.69
    ciating
    -0.69
    entimes
    -0.68
    netflix
    -0.68
    byter
    -0.67
    icable
    -0.67
     Cortana
    -0.66
    POSITIVE LOGITS
    STEM
    1.06
    ORK
    0.98
    EAR
    0.93
    ield
    0.93
    outh
    0.92
    ANK
    0.90
    PE
    0.90
    OND
    0.89
    ELL
    0.87
    BI
    0.87
    Activations Density 0.035%

    No Known Activations