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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. 6986
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    INDEX
    Explanations

    instances where something is accurately identified or sensed

    oai_token-act-pair · gpt-3.5-turbo

    terms related to detection and recognition processes

    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
    ylum
    -0.72
    cloth
    -0.70
    cake
    -0.69
    usp
    -0.69
    union
    -0.68
    apters
    -0.67
    rette
    -0.67
    lli
    -0.64
    undy
    -0.64
    udeb
    -0.64
    POSITIVE LOGITS
     accuracy
    0.88
     detect
    0.86
     detecting
    0.85
     predictive
    0.85
    alys
    0.81
     accurately
    0.80
     neural
    0.80
     diagn
    0.79
     algorithms
    0.78
     accurate
    0.77
    Activations Density 0.432%

    No Known Activations