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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. 8-RES-JB
    11. 11669
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    Explanations

    keywords related to roles, responsibilities, and involvement, including phrases related to job positions and duties

    oai_token-act-pair · gpt-3.5-turbo

    terms related to involvement and responsibility in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     inev
    -0.71
     civilisation
    -0.63
     greatness
    -0.61
     etc
    -0.60
     ut
    -0.58
     entropy
    -0.58
     correctness
    -0.58
     decay
    -0.56
     truth
    -0.55
     signific
    -0.54
    POSITIVE LOGITS
    ascript
    0.81
    actionDate
    0.80
    cci
    0.68
    itled
    0.68
    dayName
    0.67
    rences
    0.65
    enza
    0.64
    oux
    0.64
    unct
    0.63
    quartered
    0.62
    Activations Density 0.553%

    No Known Activations