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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. 14934
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    Explanations

    mentions of the word "employee" in the text

    oai_token-act-pair · gpt-3.5-turbo

    references to employees and employment-related terms

    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
    COMPLE
    -0.74
     horr
    -0.73
    trop
    -0.70
    Pac
    -0.68
    soon
    -0.68
    rous
    -0.67
     Shack
    -0.64
    caster
    -0.64
     Cause
    -0.63
     inev
    -0.62
    POSITIVE LOGITS
    arers
    0.82
     Employees
    0.82
    onomy
    0.80
    hips
    0.79
     cafeteria
    0.78
     unions
    0.74
     personnel
    0.74
     employees
    0.73
    utenant
    0.67
     employee
    0.65
    Activations Density 0.035%

    No Known Activations