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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. 9-RES-JB
    11. 3208
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    Explanations

    instances where something is being interpreted or understood in different ways

    oai_token-act-pair · gpt-3.5-turbo

    terms related to understanding or explaining concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Indust
    -0.81
    ccoli
    -0.76
     Empires
    -0.72
    zzi
    -0.71
    guard
    -0.69
    root
    -0.69
    trap
    -0.69
    nih
    -0.68
    emetery
    -0.68
    pring
    -0.68
    POSITIVE LOGITS
     interpret
    1.01
     Interpret
    0.98
     interpreting
    0.96
     interpretations
    0.93
     interpretation
    0.91
     aloud
    0.85
     misinterpret
    0.83
     meanings
    0.83
     scripture
    0.83
    interpret
    0.83
    Activations Density 0.052%

    No Known Activations