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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. 10-RES-JB
    11. 21593
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    INDEX
    Explanations

    sentence structures with repetitive words or phrases

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to responsibility and leadership

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Worse
    -0.87
     disapproval
    -0.71
     havoc
    -0.68
     unwanted
    -0.68
    lesi
    -0.67
     wondering
    -0.65
     Mayhem
    -0.65
    76561
    -0.63
     pointless
    -0.63
     Subcommittee
    -0.63
    POSITIVE LOGITS
     consistently
    1.13
     embody
    1.12
     understands
    1.09
     adhere
    1.07
     understand
    1.06
     succeed
    1.05
     demonstrate
    1.04
     recognise
    1.04
     articulate
    1.03
     communicate
    1.01
    Activations Density 0.284%

    No Known Activations