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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 11-RES-JB
    6. 4576
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    Explanations

    names of people or places followed by a verb in past tense

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    flies
    -0.82
     Newman
    -0.81
    iel
    -0.77
     Robo
    -0.75
    zl
    -0.74
     Moe
    -0.74
     MO
    -0.74
     RL
    -0.74
     Kissinger
    -0.73
     Milky
    -0.73
    POSITIVE LOGITS
    AT
    1.78
    at
    1.66
    ats
    1.51
    aton
    1.40
    atis
    1.38
    ati
    1.35
    atum
    1.35
    atar
    1.33
    ata
    1.33
    ATA
    1.32
    Activations Density 0.214%

    No Known Activations