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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. 0-RES-JB
    11. 6434
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    Explanations

    references to the concept of accuracy

    oai_token-act-pair · gpt-3.5-turbo

    references to accuracy in assessments or evaluations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    NetMessage
    -0.76
     Lobby
    -0.68
    bridge
    -0.64
    iddler
    -0.63
    ivan
    -0.63
     hijacked
    -0.62
    ksh
    -0.60
    jit
    -0.60
    dream
    -0.59
    Spons
    -0.59
    POSITIVE LOGITS
     accuracy
    3.87
     Accuracy
    2.54
     inacc
    2.30
     accur
    2.15
     precision
    1.95
     accurate
    1.95
     reliability
    1.93
    uracy
    1.91
     authenticity
    1.69
     correctness
    1.60
    Activations Density 0.012%

    No Known Activations