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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. 9-RES-JB
    11. 24106
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    INDEX
    Explanations

    verbs or phrases that indicate requirements, tasks, or actions that need to be done

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating necessity or requirements

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    gdala
    -0.77
     Democr
    -0.68
    theless
    -0.64
     Zip
    -0.63
     Rost
    -0.62
    yss
    -0.61
    azar
    -0.58
     Cyn
    -0.58
     athlet
    -0.57
    ulty
    -0.57
    POSITIVE LOGITS
    lessly
    1.00
     attention
    0.87
     scrutiny
    0.85
     updating
    0.82
     clarification
    0.81
     tweaking
    0.80
     correction
    0.79
     adjustment
    0.72
    ENTION
    0.71
     precedence
    0.71
    Activations Density 0.060%

    No Known Activations