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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. 9-RES-JB
    6. 6230
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    Explanations

    positions or titles of authority or leadership, such as "pope," "CEO," or "president."

    oai_token-act-pair · gpt-3.5-turbo

    terms related to leadership positions and titles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Consumers
    -0.70
    doors
    -0.69
     Publishers
    -0.67
     Furn
    -0.61
     Dragons
    -0.61
    atters
    -0.61
     Horses
    -0.59
     Trails
    -0.58
     Dreams
    -0.58
     Clouds
    -0.58
    POSITIVE LOGITS
     whom
    1.15
     who
    1.05
    who
    1.01
     persona
    1.00
     whose
    0.90
    ship
    0.88
    ial
    0.87
    hunt
    0.86
     named
    0.84
    dom
    0.83
    Activations Density 0.384%

    No Known Activations