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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. 2601
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    Explanations

    phrases indicating a strong commitment to ensuring thorough actions are taken in various situations

    oai_token-act-pair · gpt-3.5-turbo

    phrases that express commitment or intention to take action

    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
     Topic
    -0.77
    ipples
    -0.65
    EE
    -0.64
     Topics
    -0.64
    gdala
    -0.61
    elling
    -0.61
    ells
    -0.59
     offending
    -0.58
    ale
    -0.56
    MQ
    -0.56
    POSITIVE LOGITS
     effort
    0.97
     practicable
    0.95
     endeav
    0.90
     precautions
    0.89
     endeavour
    0.83
     precaution
    0.82
     caution
    0.76
     feasible
    0.75
     discretion
    0.75
     diligence
    0.72
    Activations Density 0.254%

    No Known Activations