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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. 5-RES-JB
    6. 12718
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    Explanations

    phrases related to stories involving characters and their actions or decisions

    oai_token-act-pair · gpt-3.5-turbo

    references to an individual's statement or perspective

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    estern
    -0.62
     Protest
    -0.49
     Pigs
    -0.48
     Morales
    -0.47
     Darkness
    -0.46
    itars
    -0.46
     Burg
    -0.46
     Gorge
    -0.46
    doms
    -0.46
    WAR
    -0.46
    POSITIVE LOGITS
    ).[
    0.79
    ]."
    0.78
    .).
    0.77
    !).
    0.75
    )).
    0.74
    çͰ
    0.72
     latter
    0.72
    ).
    0.71
    %).
    0.70
    )."
    0.68
    Activations Density 2.458%

    No Known Activations