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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. 4584
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    Explanations

    mentions of critically acclaimed films

    oai_token-act-pair · gpt-3.5-turbo

    mentions of films and movies

    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
    cffff
    -0.99
    azeera
    -0.82
    unte
    -0.70
    urances
    -0.68
    aples
    -0.65
    ktop
    -0.65
    sembly
    -0.65
     Canaveral
    -0.64
    cale
    -0.63
     ILCS
    -0.62
    POSITIVE LOGITS
     itself
    1.06
    wright
    0.98
     premiered
    0.98
    runner
    0.88
     adaptation
    0.88
    writer
    0.86
    runners
    0.84
     premiere
    0.83
     revolves
    0.80
    writers
    0.79
    Activations Density 0.121%

    No Known Activations