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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. 3-RES-JB
    11. 16490
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    Explanations

    references to specific roles or titles within an organization, particularly the term "employees."

    oai_token-act-pair · gpt-3.5-turbo

    references to employees within a corporate or organizational context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rous
    -0.77
    Pac
    -0.76
    Brow
    -0.71
    soon
    -0.69
    ican
    -0.67
    forward
    -0.66
     horr
    -0.66
    rontal
    -0.66
    COMPLE
    -0.64
    theless
    -0.63
    POSITIVE LOGITS
     Employees
    0.81
     employees
    0.81
     cafeteria
    0.78
    arers
    0.74
     employee
    0.74
    galitarian
    0.73
    hips
    0.73
     personnel
    0.72
     unions
    0.71
     interns
    0.69
    Activations Density 0.033%

    No Known Activations