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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 4-RES-JB
    6. 14462
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to business concepts and discussions

    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
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    No Comments

    Negative Logits
    alys
    -0.71
    netflix
    -0.67
    aired
    -0.64
     Nielsen
    -0.64
    âĢ¢âĢ¢
    -0.63
    arity
    -0.62
    theless
    -0.61
     Janeiro
    -0.61
    onso
    -0.61
    ACTED
    -0.60
    POSITIVE LOGITS
    INESS
    1.02
     empire
    0.89
    woman
    0.87
    Desk
    0.86
     owners
    0.84
     mogul
    0.83
     dealings
    0.78
    business
    0.78
     ventures
    0.78
    mens
    0.76
    Activations Density 0.031%

    No Known Activations