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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. 4-RES-JB
    11. 590
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    Explanations

    people or groups associated with specific actions or characteristics

    oai_token-act-pair · gpt-3.5-turbo

    the word "who" in different contexts, indicating a focus on identifying people or groups being described

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

    No Comments

    Negative Logits
     Beet
    -0.72
     Processing
    -0.70
     Cape
    -0.67
     Affordable
    -0.67
     Bound
    -0.66
    Untitled
    -0.66
     Around
    -0.66
     Entertainment
    -0.64
     Anything
    -0.64
     Et
    -0.64
    POSITIVE LOGITS
    soever
    1.10
    oping
    0.91
     resided
    0.91
    upon
    0.88
    umbnails
    0.87
    ever
    0.87
     accompanies
    0.86
     migrated
    0.82
     preceded
    0.81
     oversaw
    0.78
    Activations Density 0.169%

    No Known Activations