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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. 9-RES-JB
    11. 5777
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    Explanations

    sentences describing criminal acts or investigations

    oai_token-act-pair · gpt-3.5-turbo

    instances of the symbol "ľ" indicating a focus on repeated patterns or symbols throughout the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     targeted
    -0.83
     clitor
    -0.81
     pigeon
    -0.80
     relative
    -0.74
     diffusion
    -0.70
     inspir
    -0.69
     surn
    -0.68
     pyramid
    -0.68
     appropri
    -0.68
     successive
    -0.67
    POSITIVE LOGITS
    ï¸ı
    1.54
    ï¸
    1.03
    ternity
    0.98
    âĶĢâĶĢâĶĢâĶĢ
    0.93
    RELATED
    0.91
    \/\/
    0.89
    ----------------------------------------------------------------
    0.89
    Discuss
    0.88
    ¯
    0.87
    Roberts
    0.87
    Activations Density 0.150%

    No Known Activations