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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. 1342
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    Explanations

    terms related to accuracy and precision

    oai_token-act-pair · gpt-3.5-turbo

    terms related to accuracy and precise measurements

    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
    doms
    -0.84
    AIN
    -0.78
    loo
    -0.77
    ATA
    -0.74
     Parties
    -0.73
    hov
    -0.73
    Connector
    -0.72
    scape
    -0.72
    Aid
    -0.72
    Rus
    -0.71
    POSITIVE LOGITS
     portrayal
    1.03
    uracy
    1.01
     inacc
    0.98
     inaccurate
    0.97
     depiction
    0.96
     accuracy
    0.91
     inaccur
    0.90
     appraisal
    0.90
     depictions
    0.88
     representations
    0.87
    Activations Density 0.016%

    No Known Activations