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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
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    Explanations

    words related to physical tearing or damage

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "torn" 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
    ude
    -0.74
    Focus
    -0.74
     Richards
    -0.72
     HK
    -0.72
    HK
    -0.70
     enrichment
    -0.68
     Advocate
    -0.68
    Berry
    -0.67
     Explorer
    -0.67
    INESS
    -0.67
    POSITIVE LOGITS
     torn
    3.90
    torn
    2.47
     Torn
    1.87
     tornado
    1.63
     tore
    1.58
     rupt
    1.54
     ripped
    1.52
     tearing
    1.48
     ravaged
    1.36
     tear
    1.34
    Activations Density 0.014%

    No Known Activations