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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. 8475
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    Explanations

    phrases containing actions or events in a sequence

    oai_token-act-pair · gpt-3.5-turbo
    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
    haven
    -0.67
     artif
    -0.67
     similarities
    -0.66
     inconsistency
    -0.65
    quickShipAvailable
    -0.65
     obsessive
    -0.62
    Fact
    -0.61
     opio
    -0.61
    hack
    -0.59
     develops
    -0.59
    POSITIVE LOGITS
     stret
    1.04
     greet
    1.03
     salute
    1.02
     disembark
    0.98
     introdu
    0.94
     greeting
    0.94
     depart
    0.93
     applause
    0.91
     seated
    0.90
     adjourn
    0.89
    Activations Density 0.456%

    No Known Activations