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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. 1-RES-JB
    11. 13882
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    Explanations

    terms related to extraction, such as extracting, extraction, or scraped

    oai_token-act-pair · gpt-3.5-turbo

    terms related to extraction and harvesting processes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    egg
    -0.81
    early
    -0.79
    ship
    -0.75
    send
    -0.75
    manship
    -0.73
    etc
    -0.72
    Fly
    -0.71
    stand
    -0.70
    should
    -0.70
    Die
    -0.70
    POSITIVE LOGITS
     extraction
    1.18
     extracted
    1.16
     extracting
    1.07
     harvested
    0.92
     extract
    0.92
     corrid
    0.85
     solvent
    0.84
     arte
    0.78
     cannabinoids
    0.78
     guiActiveUn
    0.78
    Activations Density 0.005%

    No Known Activations