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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. 3-RES-JB
    11. 20850
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    INDEX
    Explanations

    the word "to."

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate purpose or intention

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    listed
    -0.77
     Appears
    -0.70
    auga
    -0.70
    Got
    -0.65
    holder
    -0.62
     Lemon
    -0.62
     Gone
    -0.61
    hop
    -0.60
    alls
    -0.59
    problem
    -0.59
    POSITIVE LOGITS
     consolidate
    1.04
     satisfy
    1.03
     fulfill
    0.98
     compensate
    0.96
     eliminate
    0.95
     avoid
    0.93
     achieve
    0.92
     ensure
    0.92
     simplify
    0.92
     establish
    0.91
    Activations Density 0.176%

    No Known Activations