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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. 0-RES-JB
    11. 15306
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    Explanations

    words related to precision or accuracy

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating tolerance or the concept of "clearance" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Hound
    -0.61
     Cube
    -0.59
     leader
    -0.56
     Emir
    -0.55
     man
    -0.55
     site
    -0.55
     complete
    -0.55
     kit
    -0.54
     Jar
    -0.53
     drill
    -0.53
    POSITIVE LOGITS
    ances
    4.91
    ance
    2.88
    ANCE
    2.52
    ancing
    2.46
    anced
    2.36
    ANC
    2.14
    ancers
    2.11
    ancies
    1.68
    ancer
    1.67
    nces
    1.64
    Activations Density 0.006%

    No Known Activations