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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. 9-RES-JB
    11. 10042
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    Explanations

    phrases related to inclusivity or addressing a wide audience

    oai_token-act-pair · gpt-3.5-turbo

    references to groups of people or collective entities

    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
    LOCK
    -0.60
    atts
    -0.58
    Initialized
    -0.57
    gio
    -0.56
    Blocks
    -0.55
    isu
    -0.55
    GET
    -0.54
     Majesty
    -0.54
    steen
    -0.54
    Invalid
    -0.53
    POSITIVE LOGITS
     thereof
    1.15
     associated
    1.12
     surrounding
    1.08
     related
    1.00
     attendant
    0.99
     accompanying
    0.95
     thereafter
    0.91
     ensuing
    0.90
     else
    0.90
     subsequent
    0.90
    Activations Density 0.217%

    No Known Activations