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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. 13875
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    INDEX
    Explanations

    words related to negative emotions and personal experiences

    oai_token-act-pair · gpt-3.5-turbo

    negation or refusal phrases

    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
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    No Comments

    Negative Logits
     incorpor
    -0.83
     clitor
    -0.77
     appropri
    -0.76
     pigeon
    -0.74
     manif
    -0.73
     phenomen
    -0.72
     tyres
    -0.72
     ropes
    -0.71
     reflex
    -0.70
     diffusion
    -0.70
    POSITIVE LOGITS
    ï¸ı
    1.43
    âĶĢâĶĢ
    1.02
    âĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢ
    1.00
    RELATED
    0.92
    ccording
    0.89
    \/\/
    0.88
    WATCH
    0.87
    âĸ¬âĸ¬
    0.85
    âĢ
    0.85
    Staff
    0.84
    Activations Density 0.118%

    No Known Activations