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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 10208
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    INDEX
    Explanations

    phrases related to focused and concentrated attempts to achieve a specific goal

    oai_token-act-pair · gpt-3.5-turbo

    references to efforts or initiatives, particularly in a political or organizational context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    osate
    -0.67
     Dealer
    -0.65
     Carnival
    -0.64
     passages
    -0.64
     Bore
    -0.63
     Wrap
    -0.63
     Kou
    -0.63
    fre
    -0.61
     Britann
    -0.61
     Chop
    -0.61
    POSITIVE LOGITS
     efforts
    1.07
     effort
    1.04
     underway
    0.89
    hooting
    0.85
     toward
    0.84
     outreach
    0.81
     undertaken
    0.80
    ossibility
    0.80
     aimed
    0.79
     tracing
    0.78
    Activations Density 0.035%

    No Known Activations