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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. 6-RES-JB
    11. 4408
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    INDEX
    Explanations

    words related to moisture, including sources of moisture, actions involving moisture, and moisture-related substances

    oai_token-act-pair · gpt-3.5-turbo

    references to moisture and its interaction with air and other substances

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     poster
    -0.70
    saf
    -0.70
    chant
    -0.69
     Honor
    -0.69
    cffffcc
    -0.67
    anmar
    -0.67
     Tale
    -0.67
     Smile
    -0.66
     Oath
    -0.65
     posters
    -0.64
    POSITIVE LOGITS
     molecules
    1.10
    flow
    1.03
     particles
    1.00
     pellets
    0.98
     accum
    0.96
     flowing
    0.92
     flows
    0.92
     injected
    0.91
     absorbed
    0.90
     accumulation
    0.90
    Activations Density 0.235%

    No Known Activations