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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 7367
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    Explanations

    mentions of employees in a work context

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "employees" or "employee" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     horr
    -0.74
    rous
    -0.73
    soon
    -0.70
    Pac
    -0.68
     Cause
    -0.68
    COMPLE
    -0.66
    theless
    -0.65
    Brow
    -0.65
    las
    -0.63
    forward
    -0.62
    POSITIVE LOGITS
    onomy
    0.81
     cafeteria
    0.79
     Employees
    0.79
    arers
    0.78
     employees
    0.73
     unions
    0.73
     personnel
    0.71
    hips
    0.71
    illary
    0.70
    galitarian
    0.69
    Activations Density 0.033%

    No Known Activations