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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. 4230
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    INDEX
    Explanations

    occurrences of the word "dry"

    oai_token-act-pair · gpt-3.5-turbo

    references to dryness

    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
    aurus
    -0.87
    emonium
    -0.85
    ority
    -0.81
    aepernick
    -0.77
    awaru
    -0.76
    CVE
    -0.75
    utterstock
    -0.74
    auri
    -0.73
    ablishment
    -0.71
    allery
    -0.70
    POSITIVE LOGITS
    wall
    1.03
    ness
    1.01
    burn
    0.80
    cloth
    0.79
    den
    0.78
    er
    0.78
    wallet
    0.77
    stal
    0.75
    lands
    0.75
     cleaners
    0.73
    Activations Density 0.018%

    No Known Activations